CINXE.COM

<!DOCTYPE html> <html lang="en" xmlns:fb="http://www.facebook.com/2008/fbml" class="wf-loading"> <head prefix="og: https://ogp.me/ns# fb: https://ogp.me/ns/fb# academia: https://ogp.me/ns/fb/academia#"> <meta charset="utf-8"> <meta name=viewport content="width=device-width, initial-scale=1"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <title>deluar moloy | Mawlana Bhashani Science & Technology University, Bangladesh - Academia.edu</title>  <link href="//a.academia-assets.com/images/favicons/favicon-production.ico" rel="shortcut icon" type="image/vnd.microsoft.icon"> <link rel="apple-touch-icon" sizes="57x57" href="//a.academia-assets.com/images/favicons/apple-touch-icon-57x57.png"> <link rel="apple-touch-icon" sizes="60x60" href="//a.academia-assets.com/images/favicons/apple-touch-icon-60x60.png"> <link rel="apple-touch-icon" sizes="72x72" href="//a.academia-assets.com/images/favicons/apple-touch-icon-72x72.png"> <link rel="apple-touch-icon" sizes="76x76" href="//a.academia-assets.com/images/favicons/apple-touch-icon-76x76.png"> <link rel="apple-touch-icon" sizes="114x114" href="//a.academia-assets.com/images/favicons/apple-touch-icon-114x114.png"> <link rel="apple-touch-icon" sizes="120x120" href="//a.academia-assets.com/images/favicons/apple-touch-icon-120x120.png"> <link rel="apple-touch-icon" sizes="144x144" href="//a.academia-assets.com/images/favicons/apple-touch-icon-144x144.png"> <link rel="apple-touch-icon" sizes="152x152" href="//a.academia-assets.com/images/favicons/apple-touch-icon-152x152.png"> <link rel="apple-touch-icon" sizes="180x180" href="//a.academia-assets.com/images/favicons/apple-touch-icon-180x180.png"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-32x32.png" sizes="32x32"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-194x194.png" sizes="194x194"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-96x96.png" sizes="96x96"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/android-chrome-192x192.png" sizes="192x192"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-16x16.png" sizes="16x16"> <link rel="manifest" href="//a.academia-assets.com/images/favicons/manifest.json"> <meta name="msapplication-TileColor" content="#2b5797"> <meta name="msapplication-TileImage" content="//a.academia-assets.com/images/favicons/mstile-144x144.png"> <meta name="theme-color" content="#ffffff"> <script> window.performance && window.performance.measure && window.performance.measure("Time To First Byte", "requestStart", "responseStart"); </script> <script> (function() { if (!window.URLSearchParams || !window.history || !window.history.replaceState) { return; } var searchParams = new URLSearchParams(window.location.search); var paramsToDelete = [ 'fs', 'sm', 'swp', 'iid', 'nbs', 'rcc', // related content category 'rcpos', // related content carousel position 'rcpg', // related carousel page 'rchid', // related content hit id 'f_ri', // research interest id, for SEO tracking 'f_fri', // featured research interest, for SEO tracking (param key without value) 'f_rid', // from research interest directory for SEO tracking 'f_loswp', // from research interest pills on LOSWP sidebar for SEO tracking 'rhid', // referrring hit id ]; if (paramsToDelete.every((key) => searchParams.get(key) === null)) { return; } paramsToDelete.forEach((key) => { searchParams.delete(key); }); var cleanUrl = new URL(window.location.href); cleanUrl.search = searchParams.toString(); history.replaceState({}, document.title, cleanUrl); })(); </script> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "profiles/works", 'action': "summary", 'controller_action': 'profiles/works#summary', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script type="text/javascript"> window.sendUserTiming = function(timingName) { if (!(window.performance && window.performance.measure)) return; var entries = window.performance.getEntriesByName(timingName, "measure"); if (entries.length !== 1) return; var timingValue = Math.round(entries[0].duration); gtag('event', 'timing_complete', { name: timingName, value: timingValue, event_category: 'User-centric', }); }; window.sendUserTiming("Time To First Byte"); </script> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="X3JJ1oc_KaG_cruHeTQLqKAmUbpqcFLq8rpBvB7tK4ZLq6Acnns69FlXy_Eh-ji53yalxj1zWV11QT_uQGR5LQ" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/wow-3d36c19b4875b226bfed0fcba1dcea3f2fe61148383d97c0465c016b8c969290.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/social/home-79e78ce59bef0a338eb6540ec3d93b4a7952115b56c57f1760943128f4544d42.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/heading-95367dc03b794f6737f30123738a886cf53b7a65cdef98a922a98591d60063e3.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/button-bfbac2a470372e2f3a6661a65fa7ff0a0fbf7aa32534d9a831d683d2a6f9e01b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/body-170d1319f0e354621e81ca17054bb147da2856ec0702fe440a99af314a6338c5.css" /><link crossorigin="" href="https://fonts.gstatic.com/" rel="preconnect" /><link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&family=Gupter:wght@400;500;700&family=IBM+Plex+Mono:wght@300;400&family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20,400,0,0&display=swap" rel="stylesheet" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/common-2b6f90dbd75f5941bc38f4ad716615f3ac449e7398313bb3bc225fba451cd9fa.css" /> <meta name="author" content="deluar moloy" /> <meta name="description" content="deluar moloy, Mawlana Bhashani Science & Technology University, Bangladesh: 2 Followers, 3 Following, 12 Research papers. Research interests: Multivariate,…" /> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs" /> <script> var $controller_name = 'works'; var $action_name = "summary"; var $rails_env = 'production'; var $app_rev = 'b092bf3a3df71cf13feee7c143e83a57eb6b94fb'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.Aedu = { hit_data: null }; window.Aedu.SiteStats = {"premium_universities_count":14016,"monthly_visitors":"99 million","monthly_visitor_count":99567017,"monthly_visitor_count_in_millions":99,"user_count":283029461,"paper_count":55203019,"paper_count_in_millions":55,"page_count":432000000,"page_count_in_millions":432,"pdf_count":16500000,"pdf_count_in_millions":16}; window.Aedu.serverRenderTime = new Date(1739834510000); window.Aedu.timeDifference = new Date().getTime() - 1739834510000; window.Aedu.isUsingCssV1 = false; window.Aedu.enableLocalization = true; window.Aedu.activateFullstory = false; window.Aedu.serviceAvailability = { status: {"attention_db":"on","bibliography_db":"on","contacts_db":"on","email_db":"on","indexability_db":"on","mentions_db":"on","news_db":"on","notifications_db":"on","offsite_mentions_db":"on","redshift":"on","redshift_exports_db":"on","related_works_db":"on","ring_db":"on","user_tests_db":"on"}, serviceEnabled: function(service) { return this.status[service] === "on"; }, readEnabled: function(service) { return this.serviceEnabled(service) || this.status[service] === "read_only"; }, }; window.Aedu.viewApmTrace = function() { // Check if x-apm-trace-id meta tag is set, and open the trace in APM // in a new window if it is. var apmTraceId = document.head.querySelector('meta[name="x-apm-trace-id"]'); if (apmTraceId) { var traceId = apmTraceId.content; // Use trace ID to construct URL, an example URL looks like: // https://app.datadoghq.com/apm/traces?query=trace_id%31298410148923562634 var apmUrl = 'https://app.datadoghq.com/apm/traces?query=trace_id%3A' + traceId; window.open(apmUrl, '_blank'); } }; </script>  <link href="https://fonts.googleapis.com/css?family=Roboto:100,100i,300,300i,400,400i,500,500i,700,700i,900,900i" rel="stylesheet"> <link rel="preload" href="//maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.min.css" as="style" onload="this.rel='stylesheet'"> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/libraries-a9675dcb01ec4ef6aa807ba772c7a5a00c1820d3ff661c1038a20f80d06bb4e4.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/academia-40698df34f913bd208bb70f09d2feb7c6286046250be17a4db35bba2c08b0e2f.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system_legacy-056a9113b9a0f5343d013b29ee1929d5a18be35fdcdceb616600b4db8bd20054.css" /> <script src="//a.academia-assets.com/assets/webpack_bundles/runtime-bundle-005434038af4252ca37c527588411a3d6a0eabb5f727fac83f8bbe7fd88d93bb.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/webpack_libraries_and_infrequently_changed.wjs-bundle-a22f75d8519394c21253dae46c8c5d60ad36ea68c7d494347ec64229d8c1cf85.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/core_webpack.wjs-bundle-5708a105dd66b4c7d0ef30b7c094b1048423f0042bd2a7b123f2d99ee3cf46d9.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/sentry.wjs-bundle-5fe03fddca915c8ba0f7edbe64c194308e8ce5abaed7bffe1255ff37549c4808.js"></script> <script> jade = window.jade || {}; jade.helpers = window.$h; jade._ = window._; </script>  <script id="tag-manager-head-root">(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer_old','GTM-5G9JF7Z');</script>  <script> window.gptadslots = []; window.googletag = window.googletag || {}; window.googletag.cmd = window.googletag.cmd || []; </script> <script type="text/javascript"> // TODO(jacob): This should be defined, may be rare load order problem. // Checking if null is just a quick fix, will default to en if unset. // Better fix is to run this immedietely after I18n is set. if (window.I18n != null) { I18n.defaultLocale = "en"; I18n.locale = "en"; I18n.fallbacks = true; } </script> <link rel="canonical" href="https://bhashanibd.academia.edu/deluarmoloy" /> </head>   <body class='c-profiles/works a-summary logged_out'>  <div id="fb-root"></div><script>window.fbAsyncInit = function() { FB.init({ appId: "2369844204", version: "v8.0", status: true, cookie: true, xfbml: true }); // Additional initialization code. if (window.InitFacebook) { // facebook.ts already loaded, set it up. window.InitFacebook(); } else { // Set a flag for facebook.ts to find when it loads. window.academiaAuthReadyFacebook = true; } };</script><script>window.fbAsyncLoad = function() { // Protection against double calling of this function if (window.FB) { return; } (function(d, s, id){ var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) {return;} js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/sdk.js"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); } if (!window.defer_facebook) { // Autoload if not deferred window.fbAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.fbAsyncLoad(); }, 5000); }</script> <div id="google-root"></div><script>window.loadGoogle = function() { if (window.InitGoogle) { // google.ts already loaded, set it up. window.InitGoogle("331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"); } else { // Set a flag for google.ts to use when it loads. window.GoogleClientID = "331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"; } };</script><script>window.googleAsyncLoad = function() { // Protection against double calling of this function (function(d) { var js; var id = 'google-jssdk'; var ref = d.getElementsByTagName('script')[0]; if (d.getElementById(id)) { return; } js = d.createElement('script'); js.id = id; js.async = true; js.onload = loadGoogle; js.src = "https://accounts.google.com/gsi/client" ref.parentNode.insertBefore(js, ref); }(document)); } if (!window.defer_google) { // Autoload if not deferred window.googleAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.googleAsyncLoad(); }, 5000); }</script> <div id="tag-manager-body-root">  <noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5G9JF7Z" height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>   <script> window.addEventListener('load', function() { if (document.querySelector('input[name="commit"]')) { document.querySelector('input[name="commit"]').addEventListener('click', function() { gtag('event', 'click', { event_category: 'button', event_label: 'Log In' }) }) } }); </script> </div> <script>var _comscore = _comscore || []; _comscore.push({ c1: "2", c2: "26766707" }); (function() { var s = document.createElement("script"), el = document.getElementsByTagName("script")[0]; s.async = true; s.src = (document.location.protocol == "https:" ? "https://sb" : "http://b") + ".scorecardresearch.com/beacon.js"; el.parentNode.insertBefore(s, el); })();</script><img src="https://sb.scorecardresearch.com/p?c1=2&c2=26766707&cv=2.0&cj=1" style="position: absolute; visibility: hidden" /> <div id='react-modal'></div> <div class='DesignSystem'> <a class='u-showOnFocus' href='#site'> Skip to main content </a> </div> <div id="upgrade_ie_banner" style="display: none;"><p>Academia.edu no longer supports Internet Explorer.</p><p>To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to <a href="https://www.academia.edu/upgrade-browser">upgrade your browser</a>.</p></div><script>// Show this banner for all versions of IE if (!!window.MSInputMethodContext || /(MSIE)/.test(navigator.userAgent)) { document.getElementById('upgrade_ie_banner').style.display = 'block'; }</script> <div class="DesignSystem bootstrap ShrinkableNav"><div class="navbar navbar-default main-header"><div class="container-wrapper" id="main-header-container"><div class="container"><div class="navbar-header"><div class="nav-left-wrapper u-mt0x"><div class="nav-logo"><a data-main-header-link-target="logo_home" href="https://www.academia.edu/"><img class="visible-xs-inline-block" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015-A.svg" width="24" height="24" /><img width="145.2" height="18" class="hidden-xs" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015.svg" /></a></div><div class="nav-search"><div class="SiteSearch-wrapper select2-no-default-pills"><form class="js-SiteSearch-form DesignSystem" action="https://www.academia.edu/search" accept-charset="UTF-8" method="get"><i class="SiteSearch-icon fa fa-search u-fw700 u-positionAbsolute u-tcGrayDark"></i><input class="js-SiteSearch-form-input SiteSearch-form-input form-control" data-main-header-click-target="search_input" name="q" placeholder="Search" type="text" value="" /></form></div></div></div><div class="nav-right-wrapper pull-right"><ul class="NavLinks js-main-nav list-unstyled"><li class="NavLinks-link"><a class="js-header-login-url Button Button--inverseGray Button--sm u-mb4x" id="nav_log_in" rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="NavLinks-link u-p0x"><a class="Button Button--inverseGray Button--sm u-mb4x" rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li></ul><button class="hidden-lg hidden-md hidden-sm u-ml4x navbar-toggle collapsed" data-target=".js-mobile-header-links" data-toggle="collapse" type="button"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button></div></div><div class="collapse navbar-collapse js-mobile-header-links"><ul class="nav navbar-nav"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li><li class="u-borderColorGrayLight u-borderBottom1 js-mobile-nav-expand-trigger"><a href="#">more&nbsp<span class="caret"></span></a></li><li><ul class="js-mobile-nav-expand-section nav navbar-nav u-m0x collapse"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/about">About</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/press">Press</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/documents">Papers</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/hiring"><i class="fa fa-briefcase"></i> We're Hiring!</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://support.academia.edu/hc/en-us"><i class="fa fa-question-circle"></i> Help Center</a></li><li class="js-mobile-nav-collapse-trigger u-borderColorGrayLight u-borderBottom1 dropup" style="display:none"><a href="#">less&nbsp<span class="caret"></span></a></li></ul></li></ul></div></div></div><script>(function(){ var $moreLink = $(".js-mobile-nav-expand-trigger"); var $lessLink = $(".js-mobile-nav-collapse-trigger"); var $section = $('.js-mobile-nav-expand-section'); $moreLink.click(function(ev){ ev.preventDefault(); $moreLink.hide(); $lessLink.show(); $section.collapse('show'); }); $lessLink.click(function(ev){ ev.preventDefault(); $moreLink.show(); $lessLink.hide(); $section.collapse('hide'); }); })() if ($a.is_logged_in() || false) { new Aedu.NavigationController({ el: '.js-main-nav', showHighlightedNotification: false }); } else { $(".js-header-login-url").attr("href", $a.loginUrlWithRedirect()); } Aedu.autocompleteSearch = new AutocompleteSearch({el: '.js-SiteSearch-form'});</script></div></div> <div id='site' class='fixed'> <div id="content" class="clearfix"> <script>document.addEventListener('DOMContentLoaded', function(){ var $dismissible = $(".dismissible_banner"); $dismissible.click(function(ev) { $dismissible.hide(); }); });</script> <script src="//a.academia-assets.com/assets/webpack_bundles/profile.wjs-bundle-c0b60aedadfb9d46b698730fbbcb2e70645c886b405d825adeba3a031c02455d.js" defer="defer"></script><script>$viewedUser = Aedu.User.set_viewed( {"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy","photo":"https://0.academia-photos.com/107329771/27977928/26229946/s65_deluar.moloy.jpg","has_photo":true,"department":{"id":2174225,"name":"Statistics","url":"https://bhashanibd.academia.edu/Departments/Statistics/Documents","university":{"id":14554,"name":"Mawlana Bhashani Science \u0026 Technology University, Bangladesh","url":"https://bhashanibd.academia.edu/"}},"position":"Faculty Member","position_id":1,"is_analytics_public":false,"interests":[{"id":113749,"name":"Multivariate","url":"https://www.academia.edu/Documents/in/Multivariate"},{"id":41482,"name":"Multivariate Analysis","url":"https://www.academia.edu/Documents/in/Multivariate_Analysis"},{"id":966253,"name":"Multivariate Statistical Methods","url":"https://www.academia.edu/Documents/in/Multivariate_Statistical_Methods"},{"id":388873,"name":"Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Mathematics_and_Statistics"},{"id":826984,"name":"Analisis Regresi Logistik Multinominal","url":"https://www.academia.edu/Documents/in/Analisis_Regresi_Logistik_Multinominal"}]} ); if ($a.is_logged_in() && $viewedUser.is_current_user()) { $('body').addClass('profile-viewed-by-owner'); } $socialProfiles = []</script><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://bhashanibd.academia.edu/deluarmoloy","location":"/deluarmoloy","scheme":"https","host":"bhashanibd.academia.edu","port":null,"pathname":"/deluarmoloy","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-de289930-ddfd-4aa5-b93b-41e0e9fd781d"></div> <div id="ProfileCheckPaperUpdate-react-component-de289930-ddfd-4aa5-b93b-41e0e9fd781d"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="deluar moloy" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/107329771/27977928/26229946/s200_deluar.moloy.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">deluar moloy</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://bhashanibd.academia.edu/">Mawlana Bhashani Science & Technology University, Bangladesh</a>, <a class="u-tcGrayDarker" href="https://bhashanibd.academia.edu/Departments/Statistics/Documents">Statistics</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="deluar" data-follow-user-id="107329771" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="107329771"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">2</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">3</p></div></a><div class="js-mentions-count-container" style="display: none;"><a href="/deluarmoloy/mentions"><div class="stat-container"><p class="label">Mentions</p><p class="data"></p></div></a></div><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="suggested-academics-container"><div class="suggested-academics--header"><p class="ds2-5-body-md-bold">Related Authors</p></div><ul class="suggested-user-card-list"><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://uerj.academia.edu/Jos%C3%A9Pessanha"><img class="profile-avatar u-positionAbsolute" alt="José Francisco Pessanha" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/1957474/2757869/14606900/s200_jos_francisco.pessanha.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://uerj.academia.edu/Jos%C3%A9Pessanha">José Francisco Pessanha</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">UERJ - Universidade do Estado do Rio de Janeiro / Rio de Janeiro State University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://concordia.academia.edu/YogendraChaubey"><img class="profile-avatar u-positionAbsolute" alt="Yogendra Chaubey" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/6982476/3366523/3961216/s200_yogendra.chaubey.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://concordia.academia.edu/YogendraChaubey">Yogendra Chaubey</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Concordia University (Canada)</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://ipleiria.academia.edu/susanamendes"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://ipleiria.academia.edu/susanamendes">susana mendes</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Polytechnic Institute of Leiria</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://bandirma.academia.edu/erdemba%C4%9Fc%C4%B1"><img class="profile-avatar u-positionAbsolute" alt="erdem bağcı" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/17674809/173653930/163669515/s200_erdem.ba_c_.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://bandirma.academia.edu/erdemba%C4%9Fc%C4%B1">erdem bağcı</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Bandirma Onyedi Eylul University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://um-purworejo.academia.edu/RiawanYudi"><img class="profile-avatar u-positionAbsolute" alt="Riawan Yudi" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/23997608/7922565/8875790/s200_riawan.yudi.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://um-purworejo.academia.edu/RiawanYudi">Riawan Yudi</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Universitas Muhammadiyah Purworejo</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://modares.academia.edu/MoosaGolalizadeh"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://modares.academia.edu/MoosaGolalizadeh">Moosa Golalizadeh</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Tarbiat Modares University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://nau.academia.edu/MichaelFalk"><img class="profile-avatar u-positionAbsolute" alt="Michael Falk" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/37020419/10541407/38015059/s200_michael.falk.jpeg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://nau.academia.edu/MichaelFalk">Michael Falk</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Northern Arizona University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://unimore.academia.edu/PaoloMagistri"><img class="profile-avatar u-positionAbsolute" alt="Paolo Magistri" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/38401449/18501828/18464714/s200_paolo.magistri.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://unimore.academia.edu/PaoloMagistri">Paolo Magistri</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Università degli studi di Modena e Reggio Emilia</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://nus.academia.edu/DavideLomanto"><img class="profile-avatar u-positionAbsolute" alt="Davide Lomanto" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/40541467/11056670/12338373/s200_davide.lomanto.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://nus.academia.edu/DavideLomanto">Davide Lomanto</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">National University of Singapore</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://ttu.academia.edu/SvetlozarRachev"><img class="profile-avatar u-positionAbsolute" alt="Svetlozar Rachev" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/51962128/14017291/15048906/s200_svetlozar.rachev.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://ttu.academia.edu/SvetlozarRachev">Svetlozar Rachev</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Texas Tech University</p></div></div></ul></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="107329771" href="https://www.academia.edu/Documents/in/Multivariate"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://bhashanibd.academia.edu/deluarmoloy","location":"/deluarmoloy","scheme":"https","host":"bhashanibd.academia.edu","port":null,"pathname":"/deluarmoloy","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Multivariate"]}" data-trace="false" data-dom-id="Pill-react-component-be0e2cde-5eb8-4405-ba30-c724a282c9b5"></div> <div id="Pill-react-component-be0e2cde-5eb8-4405-ba30-c724a282c9b5"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="107329771" href="https://www.academia.edu/Documents/in/Multivariate_Analysis"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Multivariate Analysis"]}" data-trace="false" data-dom-id="Pill-react-component-23911e1f-5c75-410e-ba2b-69c06d529ec4"></div> <div id="Pill-react-component-23911e1f-5c75-410e-ba2b-69c06d529ec4"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="107329771" href="https://www.academia.edu/Documents/in/Multivariate_Statistical_Methods"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Multivariate Statistical Methods"]}" data-trace="false" data-dom-id="Pill-react-component-d3fa58df-a268-461f-9a62-f8a414db0b9e"></div> <div id="Pill-react-component-d3fa58df-a268-461f-9a62-f8a414db0b9e"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="107329771" href="https://www.academia.edu/Documents/in/Mathematics_and_Statistics"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Mathematics and Statistics"]}" data-trace="false" data-dom-id="Pill-react-component-f3df51f9-3973-4378-b54f-d243068daa2b"></div> <div id="Pill-react-component-f3df51f9-3973-4378-b54f-d243068daa2b"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="107329771" href="https://www.academia.edu/Documents/in/Analisis_Regresi_Logistik_Multinominal"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Analisis Regresi Logistik Multinominal"]}" data-trace="false" data-dom-id="Pill-react-component-a1a41a0c-7e66-4b14-83ff-591b6a391acf"></div> <div id="Pill-react-component-a1a41a0c-7e66-4b14-83ff-591b6a391acf"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by deluar moloy</h3></div><div class="js-work-strip profile--work_container" data-work-id="124493304"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/124493304/Identifying_the_Determinants_of_Awareness_About_HIV_AIDS_Among_Ever_Married_Women_in_Bangladesh"><img alt="Research paper thumbnail of Identifying the Determinants of Awareness About HIV/AIDS Among Ever Married Women in Bangladesh" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/124493304/Identifying_the_Determinants_of_Awareness_About_HIV_AIDS_Among_Ever_Married_Women_in_Bangladesh">Identifying the Determinants of Awareness About HIV/AIDS Among Ever Married Women in Bangladesh</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124493304"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124493304"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124493304; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124493304]").text(description); $(".js-view-count[data-work-id=124493304]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124493304; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124493304']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=124493304]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124493304,"title":"Identifying the Determinants of Awareness About HIV/AIDS Among Ever Married Women in Bangladesh","internal_url":"https://www.academia.edu/124493304/Identifying_the_Determinants_of_Awareness_About_HIV_AIDS_Among_Ever_Married_Women_in_Bangladesh","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124493303"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/124493303/Developing_a_mixture_decision_tree_MDT_algorithm_with_k_means_clustering_to_improve_classification_accuracy"><img alt="Research paper thumbnail of Developing a mixture decision tree (MDT) algorithm with k-means clustering to improve classification accuracy" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/124493303/Developing_a_mixture_decision_tree_MDT_algorithm_with_k_means_clustering_to_improve_classification_accuracy">Developing a mixture decision tree (MDT) algorithm with k-means clustering to improve classification accuracy</a></div><div class="wp-workCard_item"><span>Journal of statistics & management systems/Journal of Statistics & Management Systems</span><span>, 2024</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124493303"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124493303"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124493303; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124493303]").text(description); $(".js-view-count[data-work-id=124493303]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124493303; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124493303']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=124493303]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124493303,"title":"Developing a mixture decision tree (MDT) algorithm with k-means clustering to improve classification accuracy","internal_url":"https://www.academia.edu/124493303/Developing_a_mixture_decision_tree_MDT_algorithm_with_k_means_clustering_to_improve_classification_accuracy","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124493300"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/124493300/Evaluating_the_Performance_of_Machine_Learning_Algorithm_for_Classification_of_Safer_Sexual_Negotiation_among_Married_Women_in_Bangladesh"><img alt="Research paper thumbnail of Evaluating the Performance of Machine Learning Algorithm for Classification of Safer Sexual Negotiation among Married Women in Bangladesh" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/124493300/Evaluating_the_Performance_of_Machine_Learning_Algorithm_for_Classification_of_Safer_Sexual_Negotiation_among_Married_Women_in_Bangladesh">Evaluating the Performance of Machine Learning Algorithm for Classification of Safer Sexual Negotiation among Married Women in Bangladesh</a></div><div class="wp-workCard_item"><span>Annals of data science</span><span>, May 20, 2024</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124493300"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124493300"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124493300; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124493300]").text(description); $(".js-view-count[data-work-id=124493300]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124493300; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124493300']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=124493300]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124493300,"title":"Evaluating the Performance of Machine Learning Algorithm for Classification of Safer Sexual Negotiation among Married Women in Bangladesh","internal_url":"https://www.academia.edu/124493300/Evaluating_the_Performance_of_Machine_Learning_Algorithm_for_Classification_of_Safer_Sexual_Negotiation_among_Married_Women_in_Bangladesh","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124493291"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/124493291/Quartic_Transmuted_Fr%C3%A9chet_Distribution_Properties_Estimation_and_Applications"><img alt="Research paper thumbnail of Quartic Transmuted Fréchet Distribution: Properties, Estimation and Applications" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/124493291/Quartic_Transmuted_Fr%C3%A9chet_Distribution_Properties_Estimation_and_Applications">Quartic Transmuted Fréchet Distribution: Properties, Estimation and Applications</a></div><div class="wp-workCard_item"><span>Advances and applications in statistics</span><span>, 2024</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124493291"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124493291"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124493291; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124493291]").text(description); $(".js-view-count[data-work-id=124493291]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124493291; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124493291']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=124493291]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124493291,"title":"Quartic Transmuted Fréchet Distribution: Properties, Estimation and Applications","internal_url":"https://www.academia.edu/124493291/Quartic_Transmuted_Fr%C3%A9chet_Distribution_Properties_Estimation_and_Applications","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124493285"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124493285/Modeling_Climate_data_using_the_Quartic_Transmuted_Weibull_Distribution_and_Different_Estimation_Methods"><img alt="Research paper thumbnail of Modeling Climate data using the Quartic Transmuted Weibull Distribution and Different Estimation Methods" class="work-thumbnail" src="https://attachments.academia-assets.com/118707477/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124493285/Modeling_Climate_data_using_the_Quartic_Transmuted_Weibull_Distribution_and_Different_Estimation_Methods">Modeling Climate data using the Quartic Transmuted Weibull Distribution and Different Estimation Methods</a></div><div class="wp-workCard_item"><span>Pakistan Journal of Statistics and Operation Research</span><span>, Dec 5, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Researchers from various fields of science encounter phenomena of interest, and they seek to mode...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Researchers from various fields of science encounter phenomena of interest, and they seek to model the occurrences scientifically. An important approach of performing modeling is to use probability distributions. Probability distributions are probabilistic models that have many applications in different research areas, including, but not limited to, environmental and financial studies. In this paper, we study a quartic transmuted Weibull distribution from a general quartic transmutation family of distributions as a generalization and an alternative to the well-known Weibull distribution. We also investigate the practical application of this generalization by modeling climate-related data sets and check the goodness-of-fit of the proposed model. The statistical properties of the proposed model, which includes non-central moments, generating functions, survival function, and hazard function, are derived. Different estimation methods to estimate the parameters of the proposed quartic transmuted distribution: the maximum likelihood estimation method, the maximum product of spacings method, two least-squares-based methods, and three goodnessof-fit-based estimation methods. Numerical illustration and an extensive comparative Monte Carlo simulation study is conducted to investigate the performance of the estimators of the considered inferential methods. Regarding estimation methods, simulation outcomes indicated that the maximum likelihood estimation (MLE), Anderson-Darling estimation (ADE) and right Anderson-Darling (RADE) methods in general outperformed the other considered methods in terms of estimation efficiency for large sample size, while all considered estimation methods performed almost same in terms of goodness-of-fit regardless the values of shape and transmuted parameters. Two real-life data sets are used to demonstrate the suggested estimation methods, the applicability and flexibility of the proposed distribution compared to Weibull, transmuted Weibull, and cubic transmuted Weibull distributions. Weighted least squares estimation (WLSE) and least squares estimation (LSE) methods provided best model fitting estimates of the proposed distribution for Wheaton River and rainfall data respectively. The proposed quartic transmuted Weibull distribution provided significantly improved fit for the two datasets as compared with competitive distributions.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="47204171408bd93403ef65d69ce6be6e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118707477,"asset_id":124493285,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118707477/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124493285"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124493285"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124493285; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124493285]").text(description); $(".js-view-count[data-work-id=124493285]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124493285; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124493285']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "47204171408bd93403ef65d69ce6be6e" } } $('.js-work-strip[data-work-id=124493285]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124493285,"title":"Modeling Climate data using the Quartic Transmuted Weibull Distribution and Different Estimation Methods","internal_url":"https://www.academia.edu/124493285/Modeling_Climate_data_using_the_Quartic_Transmuted_Weibull_Distribution_and_Different_Estimation_Methods","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[{"id":118707477,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118707477/thumbnails/1.jpg","file_name":"1284.pdf","download_url":"https://www.academia.edu/attachments/118707477/download_file","bulk_download_file_name":"Modeling_Climate_data_using_the_Quartic.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118707477/1284-libre.pdf?1728278928=\u0026response-content-disposition=attachment%3B+filename%3DModeling_Climate_data_using_the_Quartic.pdf\u0026Expires=1739838110\u0026Signature=IS0uYTSvsa2vp4Uc-jU3Vjx7MDDU92ctBfxK5ueGS2PmsCzBSIcCM8mRU5~Q1GZzazolfdDXZIh8uy3ROWEQRr~V6s5wJrXoIfYwumzkk7RVbY6BcuHoxSA8945B2sX6fq3W9nXEavEcEIHK8IaYvPfvNph~tOhxCz0j9ehBdDbQ3tiok--BuxDirv~H7Z9MWo4RujK4Ks3nqN7iPw1bZFhRxXNNVDdwxmn~3YlbOsL9sDEV71dRjDNKL-0NuGohhurf0zW9ydc5eo3zmdUrm8SGZmBLOByWO7Wr~wUZ~E7IZwyBT0KQ1ub3U8dbN05qn65n5CAR57MxvhYEZnXKVA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":118707476,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118707476/thumbnails/1.jpg","file_name":"1284.pdf","download_url":"https://www.academia.edu/attachments/118707476/download_file","bulk_download_file_name":"Modeling_Climate_data_using_the_Quartic.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118707476/1284-libre.pdf?1728278930=\u0026response-content-disposition=attachment%3B+filename%3DModeling_Climate_data_using_the_Quartic.pdf\u0026Expires=1739838110\u0026Signature=RJmnrIPVtdJIxfB-fN7WdeQTE5yTDZFHda2p3MewYvlUAYifC3Z5xa1K-ydFS74picyQA9zIWETHCao65UtLur69NySo7C-ir8UmNvpQYTrS6YcRdXCY3cBV4zX65e18iNC3Cm7XLkrA0bqgQwaeOQAbnt8fMljXSX8NvlWoRXfGiH4AnjM6Lhet3KjGCfKX3eNbiRQXFjUDEKeSwafNaXLrOiiRCsyBgncmtFblYpxaYQPjkRr08hyOlV5SEozxQ1EhOlU0LULqULrlTsvOrMKYwRl1xQ4ImwKmj-NEKmpftHHEHgocKXQl76AzL~~B2VvQPgYHAaDkB6idDOUYDA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="68772289"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/68772289/The_Product_M_estimators_of_regression_for_bivariate_data"><img alt="Research paper thumbnail of The Product M estimators of regression for bivariate data" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/68772289/The_Product_M_estimators_of_regression_for_bivariate_data">The Product M estimators of regression for bivariate data</a></div><div class="wp-workCard_item"><span>The Bangladesh journal of scientific research</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Key words: Contaminated data; robustness; iterative algorithm; computational efficiency Banglades...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Key words: Contaminated data; robustness; iterative algorithm; computational efficiency Bangladesh J. Sci. Res. 24(1): 57-66, 2011 (June)</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="68772289"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="68772289"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68772289; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68772289]").text(description); $(".js-view-count[data-work-id=68772289]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68772289; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='68772289']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=68772289]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":68772289,"title":"The Product M estimators of regression for bivariate data","internal_url":"https://www.academia.edu/68772289/The_Product_M_estimators_of_regression_for_bivariate_data","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="68772280"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/68772280/Determinants_of_Age_at_First_Marriage_Among_Women_in_Bangladesh_A_Binary_Logistic_Regression_Approach"><img alt="Research paper thumbnail of Determinants of Age at First Marriage Among Women in Bangladesh: A Binary Logistic Regression Approach" class="work-thumbnail" src="https://attachments.academia-assets.com/79130158/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/68772280/Determinants_of_Age_at_First_Marriage_Among_Women_in_Bangladesh_A_Binary_Logistic_Regression_Approach">Determinants of Age at First Marriage Among Women in Bangladesh: A Binary Logistic Regression Approach</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The present study tries to examine the factors that influence age at first marriage of ever-marri...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The present study tries to examine the factors that influence age at first marriage of ever-married Bangladeshi women aged 15-49 years. This study utilized data from the 2014 Bangladesh Demographic and Health Survey. The current study reveals that the median age at first marriage is only 15 years and 75% Bangladeshi women married before reaching legal age at marriage. Chi-square test is performed to investigate the association between socio-demographic factors and age at first marriage status of a respondent. Based on the bivariate analysis, variables which show statistically significant association with age at first marriage are simultaneously entered into the binary logistic regression model. The findings of the study reflect that respondent’s education level, division, place of residence, media exposure, religion, wealth index, and partner’s education level has a significant association with age at first marriage of ever-married Bangladeshi women. The findings of this study would...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="30280627eeb8fce839db5a1a778f1a66" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":79130158,"asset_id":68772280,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/79130158/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="68772280"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="68772280"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68772280; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68772280]").text(description); $(".js-view-count[data-work-id=68772280]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68772280; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='68772280']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "30280627eeb8fce839db5a1a778f1a66" } } $('.js-work-strip[data-work-id=68772280]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":68772280,"title":"Determinants of Age at First Marriage Among Women in Bangladesh: A Binary Logistic Regression Approach","internal_url":"https://www.academia.edu/68772280/Determinants_of_Age_at_First_Marriage_Among_Women_in_Bangladesh_A_Binary_Logistic_Regression_Approach","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[{"id":79130158,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/79130158/thumbnails/1.jpg","file_name":"v-8_j-4.pdf","download_url":"https://www.academia.edu/attachments/79130158/download_file","bulk_download_file_name":"Determinants_of_Age_at_First_Marriage_Am.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/79130158/v-8_j-4-libre.pdf?1642666988=\u0026response-content-disposition=attachment%3B+filename%3DDeterminants_of_Age_at_First_Marriage_Am.pdf\u0026Expires=1739838110\u0026Signature=XuUd2RYKVD0Ot9q3mZ9nrKQBpLv6xp-0EyCMtNq9YJHIjqplo6Kn~bOUowPSiu20zehRB4NfZV-40e4~UQbl8ANjt6BIokssEksqeRntDuXC7GG2IpUmm8ts2lK0Qh9wVUoWv64VLVkdmCeKjxw8LGqKwH5WyoVTjyK3nhXl1pUfX2Fq2k50psguXYzGCHYQpWjUfSwpDcfO~lu5PEOQ2AvmQi6wOlIrkXMdoVvn15y7X2RrxiPkyqiJYO6rZAkaNFVpnjQ~wMbRb5JyDLnFvqBV~Vtn0G3YkNbDCUCpeUwVwYRQmYVvoUb17AlEEYsnq1T2M2BY~IHv1VSCVYYvMQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":79130157,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/79130157/thumbnails/1.jpg","file_name":"v-8_j-4.pdf","download_url":"https://www.academia.edu/attachments/79130157/download_file","bulk_download_file_name":"Determinants_of_Age_at_First_Marriage_Am.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/79130157/v-8_j-4-libre.pdf?1642666987=\u0026response-content-disposition=attachment%3B+filename%3DDeterminants_of_Age_at_First_Marriage_Am.pdf\u0026Expires=1739838110\u0026Signature=TK0ME9J9A1k2ZhHNlR~H60w50yM4UIc56Gb6hsSl7bmJ~bQvov~jaiWHj2iHzxshIKXtJaMZflP7HaNHaQYxH0BZcwTJ-01-sOqqypxK~~eCB0Ml0JejInbU7Z4WSIN87olwbfP-EV~8IZXwVGDN8mmGrSG2TUD5IgFyGL1x83YTjnu3lN8ZaCd-ANJ1joM9xmWP~Vwa160JmdqYR4t-N-IZAGm9dsJ8K-67G9zV7Hozw0anktDsS6v3b3uNXyEHzZVW2lww8BYPwXqgqBl36jyufeifCX3XGteNGulhn8jLDgfd7wgPtMNdmxFYY4rmwLkHmPS16UwGObHi6P-NcQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="68772268"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/68772268/Earthquake_Forecasting_in_Bangladesh_and_Its_Surrounding_Regions"><img alt="Research paper thumbnail of Earthquake Forecasting in Bangladesh and Its Surrounding Regions" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/68772268/Earthquake_Forecasting_in_Bangladesh_and_Its_Surrounding_Regions">Earthquake Forecasting in Bangladesh and Its Surrounding Regions</a></div><div class="wp-workCard_item"><span>European Scientific Journal, ESJ</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Earthquake is one of the most dreadful natural disasters which have caused incalculable destructi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Earthquake is one of the most dreadful natural disasters which have caused incalculable destruction of properties and human lives. An examination of the historical catalog of Bangladesh and its surrounding regions reveal that several earthquakes of large magnitude with epicenters within this region have occurred in the past. In this paper, we have analyzed the previous earthquake data up to 2008 of Bangladesh and its adjacent regions with spatial distribution and have tried to find out the probable earthquake risk with magnitude ( ms ≥ 6.0) in this region. Our goal is to forecast waiting times until the next earthquake in Bangladesh and its surrounding regions for a magnitude of earthquake ( ms ≥ 6.0). For the prediction of the next strong earthquake, we have used Weibull distribution which is the best way to carry out probabilistic hazard analysis of earthquake occurrences and compared this distribution with the log-normal distribution and exponential distribution for the occurrenc...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="68772268"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="68772268"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68772268; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68772268]").text(description); $(".js-view-count[data-work-id=68772268]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68772268; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='68772268']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=68772268]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":68772268,"title":"Earthquake Forecasting in Bangladesh and Its Surrounding Regions","internal_url":"https://www.academia.edu/68772268/Earthquake_Forecasting_in_Bangladesh_and_Its_Surrounding_Regions","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="68772161"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/68772161/Socio_Economic_Status_and_Influencing_Factors_of_Wage_Discrepancy_Among_Ready_Made_Garment_Workers_in_Bangladesh_Evidence_from_Dhaka_City"><img alt="Research paper thumbnail of Socio-Economic Status and Influencing Factors of Wage Discrepancy Among Ready-Made Garment Workers in Bangladesh: Evidence from Dhaka City" class="work-thumbnail" src="https://attachments.academia-assets.com/79130089/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/68772161/Socio_Economic_Status_and_Influencing_Factors_of_Wage_Discrepancy_Among_Ready_Made_Garment_Workers_in_Bangladesh_Evidence_from_Dhaka_City">Socio-Economic Status and Influencing Factors of Wage Discrepancy Among Ready-Made Garment Workers in Bangladesh: Evidence from Dhaka City</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Ready-made garments (RMG) industry is the most important export-oriented sector in Bangladesh. Th...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Ready-made garments (RMG) industry is the most important export-oriented sector in Bangladesh. The sector rapidly became important in terms of employment, foreign exchange earnings, and its contribution to the national economy. This study intended to explore and investigate the significant factors of discrimination of wages among garment workers and their socio-economic status. In this study, data have been collected through a two-stage cluster sampling design. A total of 240 garment workers were interviewed from eight areas in Dhaka city. From the analytical results, it is shown that most of the garment workers are from the rural areas of the country (90%) and female (60%). Moreover, they are poorly educated as 46% of them only have primary education and also young as 59% of their ages are less than 24 years. The female workers face wage discrepancy in case of higher salary as only 4% of female workers getting more than Tk.7000 monthly whereas this figure is 45% for male workers. I...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5e5536d552851495b6da90571f7933b1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":79130089,"asset_id":68772161,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/79130089/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="68772161"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="68772161"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68772161; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68772161]").text(description); $(".js-view-count[data-work-id=68772161]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68772161; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='68772161']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5e5536d552851495b6da90571f7933b1" } } $('.js-work-strip[data-work-id=68772161]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":68772161,"title":"Socio-Economic Status and Influencing Factors of Wage Discrepancy Among Ready-Made Garment Workers in Bangladesh: Evidence from Dhaka City","internal_url":"https://www.academia.edu/68772161/Socio_Economic_Status_and_Influencing_Factors_of_Wage_Discrepancy_Among_Ready_Made_Garment_Workers_in_Bangladesh_Evidence_from_Dhaka_City","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[{"id":79130089,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/79130089/thumbnails/1.jpg","file_name":"v-8_j-3.pdf","download_url":"https://www.academia.edu/attachments/79130089/download_file","bulk_download_file_name":"Socio_Economic_Status_and_Influencing_Fa.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/79130089/v-8_j-3-libre.pdf?1642666994=\u0026response-content-disposition=attachment%3B+filename%3DSocio_Economic_Status_and_Influencing_Fa.pdf\u0026Expires=1739838110\u0026Signature=EdhdFVLnIQEdxHUiMJme5~6wPp2fJTSJKcE6crdbFLkODj9G3-yioJQdFrsT7LPbERDfCLGkEjF34TG8uGo0K~73KhTY6QF8bCWo3dj28OvlsFMQbtR7LY4M1UAJLK-q0OMlkMWWCBq-2pv5etzipqGmmHaJ0bCkJteFm5fBKsfZxnquC4WcYO36qGgVix9Y783h7TB4ndbWLg57N3np6L2oenbbLiJWHyQ21rpGwc61nDErt08lcRy7Nk4jHISFJ3HCE0Za6KgVND-kq0GqvrX0RHzwSXdxIelQ4VafKW30pRCeMSNil6uiKcYCxblIyfpzBfEBwwnz~EJOqWNygg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":79130088,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/79130088/thumbnails/1.jpg","file_name":"v-8_j-3.pdf","download_url":"https://www.academia.edu/attachments/79130088/download_file","bulk_download_file_name":"Socio_Economic_Status_and_Influencing_Fa.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/79130088/v-8_j-3-libre.pdf?1642666993=\u0026response-content-disposition=attachment%3B+filename%3DSocio_Economic_Status_and_Influencing_Fa.pdf\u0026Expires=1739838110\u0026Signature=ISvRN6jTW62cFrtkz60UExn4joNmJcvzn4xaeihpwDzxqIJeX-9jCzIA5ZSJcpnFW-Ye6P5aMN45ba4Y8~Fu0utu41bHqjCGAWyErEyTkk3Dd3e3J~zRFSJnuw0m4XyLCcVhOZwS3eliAGyLT3-yFzvECsrDcb1rPxgszO0vGltIlBZvZJM75LvvqOH25Nt-l76UYDbsS2KEgU6Cna2PZfkjW5Qq2pcDnJgJ7E0D6s74rBvjRE-FW8ApdOjGxpzj5AYBZxkGiJCIivgAEGtKzkDo8w5gcmQT100iBo7JgsUpdsn2AerbOPv3hvIHmoIutrJG96fJDSSULWVSNcPb1A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="62841521"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/62841521/Determinants_of_Age_at_First_Marriage_and_Its_Influence_on_Completed_Fertility"><img alt="Research paper thumbnail of Determinants of Age at First Marriage and Its Influence on Completed Fertility" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/62841521/Determinants_of_Age_at_First_Marriage_and_Its_Influence_on_Completed_Fertility">Determinants of Age at First Marriage and Its Influence on Completed Fertility</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Early marriage is highly prevalent in Bangladesh. Early marriage tends to increased fertility res...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Early marriage is highly prevalent in Bangladesh. Early marriage tends to increased fertility resulting in high population growth. It is important to identify the various social and cultural factors influencing age at first marriage as well as completed fertility. The purpose of this study is to identify the factors that have some contributions to raise the age at marriage of females vis-a-vis fertility decline in two different periods using the data from Bangladesh Demographic and Health Survey (BDHS) 2007. Descriptive statistics have been used to describe the distribution for background characteristics of the couples. Poisson regression model has been employed to study the impact of several covariates on completed fertility. The study tends to confirm that overall mean age at first` marriage of rural Bangladeshi woman is only about 15 years. Marriage cohort analysis of the respondents suggests that mean age at first marriage among most recent cohort is more than 1 year higher comp...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="62841521"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="62841521"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 62841521; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=62841521]").text(description); $(".js-view-count[data-work-id=62841521]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 62841521; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='62841521']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=62841521]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":62841521,"title":"Determinants of Age at First Marriage and Its Influence on Completed Fertility","internal_url":"https://www.academia.edu/62841521/Determinants_of_Age_at_First_Marriage_and_Its_Influence_on_Completed_Fertility","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="50217911"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/50217911/Evaluating_the_Approaches_of_Small_Area_Estimation_Using_Poverty_Mapping_Data"><img alt="Research paper thumbnail of Evaluating the Approaches of Small Area Estimation Using Poverty Mapping Data" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/50217911/Evaluating_the_Approaches_of_Small_Area_Estimation_Using_Poverty_Mapping_Data">Evaluating the Approaches of Small Area Estimation Using Poverty Mapping Data</a></div><div class="wp-workCard_item"><span>Journal of Statistical and Econometric Methods</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Nowadays, estimation demand in statistics is increased worldwide to seek out an estimate, or appr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Nowadays, estimation demand in statistics is increased worldwide to seek out an estimate, or approximation, which may be a value which will be used for various purpose, albeit the input data could also be incomplete, uncertain, or unstable. The development of different estimation methods is trying to provide most accurate estimate and estimation theory deals with finding estimates with good properties. The demand of small area estimation (SAE) method has been increasing rapidly around the world because of its reliability compared to the traditional direct estimation methods, especially in the case of small sample size. This paper mainly focuses on the comparison of several indirect small area estimation methods (poststratified synthetic, SSD and EB estimates) with traditional direct estimator based on a renowned data set. Direct estimator is approximately unbiased but SSD and Post-stratified synthetic estimator is extreme biased. To cope up the problem, we conduct another model-base...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="50217911"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="50217911"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50217911; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50217911]").text(description); $(".js-view-count[data-work-id=50217911]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50217911; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50217911']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=50217911]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50217911,"title":"Evaluating the Approaches of Small Area Estimation Using Poverty Mapping Data","internal_url":"https://www.academia.edu/50217911/Evaluating_the_Approaches_of_Small_Area_Estimation_Using_Poverty_Mapping_Data","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="50217880"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/50217880/The_Product_M_estimators_of_regression_for_bivariate_data"><img alt="Research paper thumbnail of The Product M estimators of regression for bivariate data" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/50217880/The_Product_M_estimators_of_regression_for_bivariate_data">The Product M estimators of regression for bivariate data</a></div><div class="wp-workCard_item"><span>Bangladesh Journal of Scientific Research</span><span>, Nov 24, 2011</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="50217880"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="50217880"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50217880; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50217880]").text(description); $(".js-view-count[data-work-id=50217880]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50217880; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50217880']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=50217880]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50217880,"title":"The Product M estimators of regression for bivariate data","internal_url":"https://www.academia.edu/50217880/The_Product_M_estimators_of_regression_for_bivariate_data","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="11472667" id="papers"><div class="js-work-strip profile--work_container" data-work-id="124493304"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/124493304/Identifying_the_Determinants_of_Awareness_About_HIV_AIDS_Among_Ever_Married_Women_in_Bangladesh"><img alt="Research paper thumbnail of Identifying the Determinants of Awareness About HIV/AIDS Among Ever Married Women in Bangladesh" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/124493304/Identifying_the_Determinants_of_Awareness_About_HIV_AIDS_Among_Ever_Married_Women_in_Bangladesh">Identifying the Determinants of Awareness About HIV/AIDS Among Ever Married Women in Bangladesh</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124493304"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124493304"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124493304; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124493304]").text(description); $(".js-view-count[data-work-id=124493304]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124493304; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124493304']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=124493304]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124493304,"title":"Identifying the Determinants of Awareness About HIV/AIDS Among Ever Married Women in Bangladesh","internal_url":"https://www.academia.edu/124493304/Identifying_the_Determinants_of_Awareness_About_HIV_AIDS_Among_Ever_Married_Women_in_Bangladesh","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124493303"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/124493303/Developing_a_mixture_decision_tree_MDT_algorithm_with_k_means_clustering_to_improve_classification_accuracy"><img alt="Research paper thumbnail of Developing a mixture decision tree (MDT) algorithm with k-means clustering to improve classification accuracy" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/124493303/Developing_a_mixture_decision_tree_MDT_algorithm_with_k_means_clustering_to_improve_classification_accuracy">Developing a mixture decision tree (MDT) algorithm with k-means clustering to improve classification accuracy</a></div><div class="wp-workCard_item"><span>Journal of statistics & management systems/Journal of Statistics & Management Systems</span><span>, 2024</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124493303"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124493303"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124493303; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124493303]").text(description); $(".js-view-count[data-work-id=124493303]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124493303; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124493303']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=124493303]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124493303,"title":"Developing a mixture decision tree (MDT) algorithm with k-means clustering to improve classification accuracy","internal_url":"https://www.academia.edu/124493303/Developing_a_mixture_decision_tree_MDT_algorithm_with_k_means_clustering_to_improve_classification_accuracy","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124493300"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/124493300/Evaluating_the_Performance_of_Machine_Learning_Algorithm_for_Classification_of_Safer_Sexual_Negotiation_among_Married_Women_in_Bangladesh"><img alt="Research paper thumbnail of Evaluating the Performance of Machine Learning Algorithm for Classification of Safer Sexual Negotiation among Married Women in Bangladesh" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/124493300/Evaluating_the_Performance_of_Machine_Learning_Algorithm_for_Classification_of_Safer_Sexual_Negotiation_among_Married_Women_in_Bangladesh">Evaluating the Performance of Machine Learning Algorithm for Classification of Safer Sexual Negotiation among Married Women in Bangladesh</a></div><div class="wp-workCard_item"><span>Annals of data science</span><span>, May 20, 2024</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124493300"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124493300"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124493300; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124493300]").text(description); $(".js-view-count[data-work-id=124493300]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124493300; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124493300']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=124493300]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124493300,"title":"Evaluating the Performance of Machine Learning Algorithm for Classification of Safer Sexual Negotiation among Married Women in Bangladesh","internal_url":"https://www.academia.edu/124493300/Evaluating_the_Performance_of_Machine_Learning_Algorithm_for_Classification_of_Safer_Sexual_Negotiation_among_Married_Women_in_Bangladesh","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124493291"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/124493291/Quartic_Transmuted_Fr%C3%A9chet_Distribution_Properties_Estimation_and_Applications"><img alt="Research paper thumbnail of Quartic Transmuted Fréchet Distribution: Properties, Estimation and Applications" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/124493291/Quartic_Transmuted_Fr%C3%A9chet_Distribution_Properties_Estimation_and_Applications">Quartic Transmuted Fréchet Distribution: Properties, Estimation and Applications</a></div><div class="wp-workCard_item"><span>Advances and applications in statistics</span><span>, 2024</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124493291"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124493291"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124493291; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124493291]").text(description); $(".js-view-count[data-work-id=124493291]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124493291; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124493291']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=124493291]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124493291,"title":"Quartic Transmuted Fréchet Distribution: Properties, Estimation and Applications","internal_url":"https://www.academia.edu/124493291/Quartic_Transmuted_Fr%C3%A9chet_Distribution_Properties_Estimation_and_Applications","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124493285"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124493285/Modeling_Climate_data_using_the_Quartic_Transmuted_Weibull_Distribution_and_Different_Estimation_Methods"><img alt="Research paper thumbnail of Modeling Climate data using the Quartic Transmuted Weibull Distribution and Different Estimation Methods" class="work-thumbnail" src="https://attachments.academia-assets.com/118707477/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124493285/Modeling_Climate_data_using_the_Quartic_Transmuted_Weibull_Distribution_and_Different_Estimation_Methods">Modeling Climate data using the Quartic Transmuted Weibull Distribution and Different Estimation Methods</a></div><div class="wp-workCard_item"><span>Pakistan Journal of Statistics and Operation Research</span><span>, Dec 5, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Researchers from various fields of science encounter phenomena of interest, and they seek to mode...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Researchers from various fields of science encounter phenomena of interest, and they seek to model the occurrences scientifically. An important approach of performing modeling is to use probability distributions. Probability distributions are probabilistic models that have many applications in different research areas, including, but not limited to, environmental and financial studies. In this paper, we study a quartic transmuted Weibull distribution from a general quartic transmutation family of distributions as a generalization and an alternative to the well-known Weibull distribution. We also investigate the practical application of this generalization by modeling climate-related data sets and check the goodness-of-fit of the proposed model. The statistical properties of the proposed model, which includes non-central moments, generating functions, survival function, and hazard function, are derived. Different estimation methods to estimate the parameters of the proposed quartic transmuted distribution: the maximum likelihood estimation method, the maximum product of spacings method, two least-squares-based methods, and three goodnessof-fit-based estimation methods. Numerical illustration and an extensive comparative Monte Carlo simulation study is conducted to investigate the performance of the estimators of the considered inferential methods. Regarding estimation methods, simulation outcomes indicated that the maximum likelihood estimation (MLE), Anderson-Darling estimation (ADE) and right Anderson-Darling (RADE) methods in general outperformed the other considered methods in terms of estimation efficiency for large sample size, while all considered estimation methods performed almost same in terms of goodness-of-fit regardless the values of shape and transmuted parameters. Two real-life data sets are used to demonstrate the suggested estimation methods, the applicability and flexibility of the proposed distribution compared to Weibull, transmuted Weibull, and cubic transmuted Weibull distributions. Weighted least squares estimation (WLSE) and least squares estimation (LSE) methods provided best model fitting estimates of the proposed distribution for Wheaton River and rainfall data respectively. The proposed quartic transmuted Weibull distribution provided significantly improved fit for the two datasets as compared with competitive distributions.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="47204171408bd93403ef65d69ce6be6e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118707477,"asset_id":124493285,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118707477/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124493285"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124493285"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124493285; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124493285]").text(description); $(".js-view-count[data-work-id=124493285]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124493285; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124493285']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "47204171408bd93403ef65d69ce6be6e" } } $('.js-work-strip[data-work-id=124493285]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124493285,"title":"Modeling Climate data using the Quartic Transmuted Weibull Distribution and Different Estimation Methods","internal_url":"https://www.academia.edu/124493285/Modeling_Climate_data_using_the_Quartic_Transmuted_Weibull_Distribution_and_Different_Estimation_Methods","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[{"id":118707477,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118707477/thumbnails/1.jpg","file_name":"1284.pdf","download_url":"https://www.academia.edu/attachments/118707477/download_file","bulk_download_file_name":"Modeling_Climate_data_using_the_Quartic.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118707477/1284-libre.pdf?1728278928=\u0026response-content-disposition=attachment%3B+filename%3DModeling_Climate_data_using_the_Quartic.pdf\u0026Expires=1739838110\u0026Signature=IS0uYTSvsa2vp4Uc-jU3Vjx7MDDU92ctBfxK5ueGS2PmsCzBSIcCM8mRU5~Q1GZzazolfdDXZIh8uy3ROWEQRr~V6s5wJrXoIfYwumzkk7RVbY6BcuHoxSA8945B2sX6fq3W9nXEavEcEIHK8IaYvPfvNph~tOhxCz0j9ehBdDbQ3tiok--BuxDirv~H7Z9MWo4RujK4Ks3nqN7iPw1bZFhRxXNNVDdwxmn~3YlbOsL9sDEV71dRjDNKL-0NuGohhurf0zW9ydc5eo3zmdUrm8SGZmBLOByWO7Wr~wUZ~E7IZwyBT0KQ1ub3U8dbN05qn65n5CAR57MxvhYEZnXKVA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":118707476,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118707476/thumbnails/1.jpg","file_name":"1284.pdf","download_url":"https://www.academia.edu/attachments/118707476/download_file","bulk_download_file_name":"Modeling_Climate_data_using_the_Quartic.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118707476/1284-libre.pdf?1728278930=\u0026response-content-disposition=attachment%3B+filename%3DModeling_Climate_data_using_the_Quartic.pdf\u0026Expires=1739838110\u0026Signature=RJmnrIPVtdJIxfB-fN7WdeQTE5yTDZFHda2p3MewYvlUAYifC3Z5xa1K-ydFS74picyQA9zIWETHCao65UtLur69NySo7C-ir8UmNvpQYTrS6YcRdXCY3cBV4zX65e18iNC3Cm7XLkrA0bqgQwaeOQAbnt8fMljXSX8NvlWoRXfGiH4AnjM6Lhet3KjGCfKX3eNbiRQXFjUDEKeSwafNaXLrOiiRCsyBgncmtFblYpxaYQPjkRr08hyOlV5SEozxQ1EhOlU0LULqULrlTsvOrMKYwRl1xQ4ImwKmj-NEKmpftHHEHgocKXQl76AzL~~B2VvQPgYHAaDkB6idDOUYDA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="68772289"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/68772289/The_Product_M_estimators_of_regression_for_bivariate_data"><img alt="Research paper thumbnail of The Product M estimators of regression for bivariate data" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/68772289/The_Product_M_estimators_of_regression_for_bivariate_data">The Product M estimators of regression for bivariate data</a></div><div class="wp-workCard_item"><span>The Bangladesh journal of scientific research</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Key words: Contaminated data; robustness; iterative algorithm; computational efficiency Banglades...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Key words: Contaminated data; robustness; iterative algorithm; computational efficiency Bangladesh J. Sci. Res. 24(1): 57-66, 2011 (June)</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="68772289"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="68772289"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68772289; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68772289]").text(description); $(".js-view-count[data-work-id=68772289]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68772289; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='68772289']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=68772289]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":68772289,"title":"The Product M estimators of regression for bivariate data","internal_url":"https://www.academia.edu/68772289/The_Product_M_estimators_of_regression_for_bivariate_data","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="68772280"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/68772280/Determinants_of_Age_at_First_Marriage_Among_Women_in_Bangladesh_A_Binary_Logistic_Regression_Approach"><img alt="Research paper thumbnail of Determinants of Age at First Marriage Among Women in Bangladesh: A Binary Logistic Regression Approach" class="work-thumbnail" src="https://attachments.academia-assets.com/79130158/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/68772280/Determinants_of_Age_at_First_Marriage_Among_Women_in_Bangladesh_A_Binary_Logistic_Regression_Approach">Determinants of Age at First Marriage Among Women in Bangladesh: A Binary Logistic Regression Approach</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The present study tries to examine the factors that influence age at first marriage of ever-marri...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The present study tries to examine the factors that influence age at first marriage of ever-married Bangladeshi women aged 15-49 years. This study utilized data from the 2014 Bangladesh Demographic and Health Survey. The current study reveals that the median age at first marriage is only 15 years and 75% Bangladeshi women married before reaching legal age at marriage. Chi-square test is performed to investigate the association between socio-demographic factors and age at first marriage status of a respondent. Based on the bivariate analysis, variables which show statistically significant association with age at first marriage are simultaneously entered into the binary logistic regression model. The findings of the study reflect that respondent’s education level, division, place of residence, media exposure, religion, wealth index, and partner’s education level has a significant association with age at first marriage of ever-married Bangladeshi women. The findings of this study would...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="30280627eeb8fce839db5a1a778f1a66" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":79130158,"asset_id":68772280,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/79130158/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="68772280"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="68772280"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68772280; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68772280]").text(description); $(".js-view-count[data-work-id=68772280]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68772280; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='68772280']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "30280627eeb8fce839db5a1a778f1a66" } } $('.js-work-strip[data-work-id=68772280]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":68772280,"title":"Determinants of Age at First Marriage Among Women in Bangladesh: A Binary Logistic Regression Approach","internal_url":"https://www.academia.edu/68772280/Determinants_of_Age_at_First_Marriage_Among_Women_in_Bangladesh_A_Binary_Logistic_Regression_Approach","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[{"id":79130158,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/79130158/thumbnails/1.jpg","file_name":"v-8_j-4.pdf","download_url":"https://www.academia.edu/attachments/79130158/download_file","bulk_download_file_name":"Determinants_of_Age_at_First_Marriage_Am.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/79130158/v-8_j-4-libre.pdf?1642666988=\u0026response-content-disposition=attachment%3B+filename%3DDeterminants_of_Age_at_First_Marriage_Am.pdf\u0026Expires=1739838110\u0026Signature=XuUd2RYKVD0Ot9q3mZ9nrKQBpLv6xp-0EyCMtNq9YJHIjqplo6Kn~bOUowPSiu20zehRB4NfZV-40e4~UQbl8ANjt6BIokssEksqeRntDuXC7GG2IpUmm8ts2lK0Qh9wVUoWv64VLVkdmCeKjxw8LGqKwH5WyoVTjyK3nhXl1pUfX2Fq2k50psguXYzGCHYQpWjUfSwpDcfO~lu5PEOQ2AvmQi6wOlIrkXMdoVvn15y7X2RrxiPkyqiJYO6rZAkaNFVpnjQ~wMbRb5JyDLnFvqBV~Vtn0G3YkNbDCUCpeUwVwYRQmYVvoUb17AlEEYsnq1T2M2BY~IHv1VSCVYYvMQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":79130157,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/79130157/thumbnails/1.jpg","file_name":"v-8_j-4.pdf","download_url":"https://www.academia.edu/attachments/79130157/download_file","bulk_download_file_name":"Determinants_of_Age_at_First_Marriage_Am.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/79130157/v-8_j-4-libre.pdf?1642666987=\u0026response-content-disposition=attachment%3B+filename%3DDeterminants_of_Age_at_First_Marriage_Am.pdf\u0026Expires=1739838110\u0026Signature=TK0ME9J9A1k2ZhHNlR~H60w50yM4UIc56Gb6hsSl7bmJ~bQvov~jaiWHj2iHzxshIKXtJaMZflP7HaNHaQYxH0BZcwTJ-01-sOqqypxK~~eCB0Ml0JejInbU7Z4WSIN87olwbfP-EV~8IZXwVGDN8mmGrSG2TUD5IgFyGL1x83YTjnu3lN8ZaCd-ANJ1joM9xmWP~Vwa160JmdqYR4t-N-IZAGm9dsJ8K-67G9zV7Hozw0anktDsS6v3b3uNXyEHzZVW2lww8BYPwXqgqBl36jyufeifCX3XGteNGulhn8jLDgfd7wgPtMNdmxFYY4rmwLkHmPS16UwGObHi6P-NcQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="68772268"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/68772268/Earthquake_Forecasting_in_Bangladesh_and_Its_Surrounding_Regions"><img alt="Research paper thumbnail of Earthquake Forecasting in Bangladesh and Its Surrounding Regions" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/68772268/Earthquake_Forecasting_in_Bangladesh_and_Its_Surrounding_Regions">Earthquake Forecasting in Bangladesh and Its Surrounding Regions</a></div><div class="wp-workCard_item"><span>European Scientific Journal, ESJ</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Earthquake is one of the most dreadful natural disasters which have caused incalculable destructi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Earthquake is one of the most dreadful natural disasters which have caused incalculable destruction of properties and human lives. An examination of the historical catalog of Bangladesh and its surrounding regions reveal that several earthquakes of large magnitude with epicenters within this region have occurred in the past. In this paper, we have analyzed the previous earthquake data up to 2008 of Bangladesh and its adjacent regions with spatial distribution and have tried to find out the probable earthquake risk with magnitude ( ms ≥ 6.0) in this region. Our goal is to forecast waiting times until the next earthquake in Bangladesh and its surrounding regions for a magnitude of earthquake ( ms ≥ 6.0). For the prediction of the next strong earthquake, we have used Weibull distribution which is the best way to carry out probabilistic hazard analysis of earthquake occurrences and compared this distribution with the log-normal distribution and exponential distribution for the occurrenc...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="68772268"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="68772268"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68772268; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68772268]").text(description); $(".js-view-count[data-work-id=68772268]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68772268; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='68772268']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=68772268]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":68772268,"title":"Earthquake Forecasting in Bangladesh and Its Surrounding Regions","internal_url":"https://www.academia.edu/68772268/Earthquake_Forecasting_in_Bangladesh_and_Its_Surrounding_Regions","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="68772161"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/68772161/Socio_Economic_Status_and_Influencing_Factors_of_Wage_Discrepancy_Among_Ready_Made_Garment_Workers_in_Bangladesh_Evidence_from_Dhaka_City"><img alt="Research paper thumbnail of Socio-Economic Status and Influencing Factors of Wage Discrepancy Among Ready-Made Garment Workers in Bangladesh: Evidence from Dhaka City" class="work-thumbnail" src="https://attachments.academia-assets.com/79130089/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/68772161/Socio_Economic_Status_and_Influencing_Factors_of_Wage_Discrepancy_Among_Ready_Made_Garment_Workers_in_Bangladesh_Evidence_from_Dhaka_City">Socio-Economic Status and Influencing Factors of Wage Discrepancy Among Ready-Made Garment Workers in Bangladesh: Evidence from Dhaka City</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Ready-made garments (RMG) industry is the most important export-oriented sector in Bangladesh. Th...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Ready-made garments (RMG) industry is the most important export-oriented sector in Bangladesh. The sector rapidly became important in terms of employment, foreign exchange earnings, and its contribution to the national economy. This study intended to explore and investigate the significant factors of discrimination of wages among garment workers and their socio-economic status. In this study, data have been collected through a two-stage cluster sampling design. A total of 240 garment workers were interviewed from eight areas in Dhaka city. From the analytical results, it is shown that most of the garment workers are from the rural areas of the country (90%) and female (60%). Moreover, they are poorly educated as 46% of them only have primary education and also young as 59% of their ages are less than 24 years. The female workers face wage discrepancy in case of higher salary as only 4% of female workers getting more than Tk.7000 monthly whereas this figure is 45% for male workers. I...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5e5536d552851495b6da90571f7933b1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":79130089,"asset_id":68772161,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/79130089/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="68772161"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="68772161"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68772161; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68772161]").text(description); $(".js-view-count[data-work-id=68772161]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68772161; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='68772161']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5e5536d552851495b6da90571f7933b1" } } $('.js-work-strip[data-work-id=68772161]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":68772161,"title":"Socio-Economic Status and Influencing Factors of Wage Discrepancy Among Ready-Made Garment Workers in Bangladesh: Evidence from Dhaka City","internal_url":"https://www.academia.edu/68772161/Socio_Economic_Status_and_Influencing_Factors_of_Wage_Discrepancy_Among_Ready_Made_Garment_Workers_in_Bangladesh_Evidence_from_Dhaka_City","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[{"id":79130089,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/79130089/thumbnails/1.jpg","file_name":"v-8_j-3.pdf","download_url":"https://www.academia.edu/attachments/79130089/download_file","bulk_download_file_name":"Socio_Economic_Status_and_Influencing_Fa.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/79130089/v-8_j-3-libre.pdf?1642666994=\u0026response-content-disposition=attachment%3B+filename%3DSocio_Economic_Status_and_Influencing_Fa.pdf\u0026Expires=1739838110\u0026Signature=EdhdFVLnIQEdxHUiMJme5~6wPp2fJTSJKcE6crdbFLkODj9G3-yioJQdFrsT7LPbERDfCLGkEjF34TG8uGo0K~73KhTY6QF8bCWo3dj28OvlsFMQbtR7LY4M1UAJLK-q0OMlkMWWCBq-2pv5etzipqGmmHaJ0bCkJteFm5fBKsfZxnquC4WcYO36qGgVix9Y783h7TB4ndbWLg57N3np6L2oenbbLiJWHyQ21rpGwc61nDErt08lcRy7Nk4jHISFJ3HCE0Za6KgVND-kq0GqvrX0RHzwSXdxIelQ4VafKW30pRCeMSNil6uiKcYCxblIyfpzBfEBwwnz~EJOqWNygg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":79130088,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/79130088/thumbnails/1.jpg","file_name":"v-8_j-3.pdf","download_url":"https://www.academia.edu/attachments/79130088/download_file","bulk_download_file_name":"Socio_Economic_Status_and_Influencing_Fa.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/79130088/v-8_j-3-libre.pdf?1642666993=\u0026response-content-disposition=attachment%3B+filename%3DSocio_Economic_Status_and_Influencing_Fa.pdf\u0026Expires=1739838110\u0026Signature=ISvRN6jTW62cFrtkz60UExn4joNmJcvzn4xaeihpwDzxqIJeX-9jCzIA5ZSJcpnFW-Ye6P5aMN45ba4Y8~Fu0utu41bHqjCGAWyErEyTkk3Dd3e3J~zRFSJnuw0m4XyLCcVhOZwS3eliAGyLT3-yFzvECsrDcb1rPxgszO0vGltIlBZvZJM75LvvqOH25Nt-l76UYDbsS2KEgU6Cna2PZfkjW5Qq2pcDnJgJ7E0D6s74rBvjRE-FW8ApdOjGxpzj5AYBZxkGiJCIivgAEGtKzkDo8w5gcmQT100iBo7JgsUpdsn2AerbOPv3hvIHmoIutrJG96fJDSSULWVSNcPb1A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="62841521"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/62841521/Determinants_of_Age_at_First_Marriage_and_Its_Influence_on_Completed_Fertility"><img alt="Research paper thumbnail of Determinants of Age at First Marriage and Its Influence on Completed Fertility" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/62841521/Determinants_of_Age_at_First_Marriage_and_Its_Influence_on_Completed_Fertility">Determinants of Age at First Marriage and Its Influence on Completed Fertility</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Early marriage is highly prevalent in Bangladesh. Early marriage tends to increased fertility res...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Early marriage is highly prevalent in Bangladesh. Early marriage tends to increased fertility resulting in high population growth. It is important to identify the various social and cultural factors influencing age at first marriage as well as completed fertility. The purpose of this study is to identify the factors that have some contributions to raise the age at marriage of females vis-a-vis fertility decline in two different periods using the data from Bangladesh Demographic and Health Survey (BDHS) 2007. Descriptive statistics have been used to describe the distribution for background characteristics of the couples. Poisson regression model has been employed to study the impact of several covariates on completed fertility. The study tends to confirm that overall mean age at first` marriage of rural Bangladeshi woman is only about 15 years. Marriage cohort analysis of the respondents suggests that mean age at first marriage among most recent cohort is more than 1 year higher comp...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="62841521"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="62841521"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 62841521; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=62841521]").text(description); $(".js-view-count[data-work-id=62841521]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 62841521; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='62841521']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=62841521]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":62841521,"title":"Determinants of Age at First Marriage and Its Influence on Completed Fertility","internal_url":"https://www.academia.edu/62841521/Determinants_of_Age_at_First_Marriage_and_Its_Influence_on_Completed_Fertility","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="50217911"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/50217911/Evaluating_the_Approaches_of_Small_Area_Estimation_Using_Poverty_Mapping_Data"><img alt="Research paper thumbnail of Evaluating the Approaches of Small Area Estimation Using Poverty Mapping Data" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/50217911/Evaluating_the_Approaches_of_Small_Area_Estimation_Using_Poverty_Mapping_Data">Evaluating the Approaches of Small Area Estimation Using Poverty Mapping Data</a></div><div class="wp-workCard_item"><span>Journal of Statistical and Econometric Methods</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Nowadays, estimation demand in statistics is increased worldwide to seek out an estimate, or appr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Nowadays, estimation demand in statistics is increased worldwide to seek out an estimate, or approximation, which may be a value which will be used for various purpose, albeit the input data could also be incomplete, uncertain, or unstable. The development of different estimation methods is trying to provide most accurate estimate and estimation theory deals with finding estimates with good properties. The demand of small area estimation (SAE) method has been increasing rapidly around the world because of its reliability compared to the traditional direct estimation methods, especially in the case of small sample size. This paper mainly focuses on the comparison of several indirect small area estimation methods (poststratified synthetic, SSD and EB estimates) with traditional direct estimator based on a renowned data set. Direct estimator is approximately unbiased but SSD and Post-stratified synthetic estimator is extreme biased. To cope up the problem, we conduct another model-base...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="50217911"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="50217911"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50217911; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50217911]").text(description); $(".js-view-count[data-work-id=50217911]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50217911; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50217911']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=50217911]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50217911,"title":"Evaluating the Approaches of Small Area Estimation Using Poverty Mapping Data","internal_url":"https://www.academia.edu/50217911/Evaluating_the_Approaches_of_Small_Area_Estimation_Using_Poverty_Mapping_Data","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="50217880"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/50217880/The_Product_M_estimators_of_regression_for_bivariate_data"><img alt="Research paper thumbnail of The Product M estimators of regression for bivariate data" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/50217880/The_Product_M_estimators_of_regression_for_bivariate_data">The Product M estimators of regression for bivariate data</a></div><div class="wp-workCard_item"><span>Bangladesh Journal of Scientific Research</span><span>, Nov 24, 2011</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="50217880"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="50217880"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50217880; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50217880]").text(description); $(".js-view-count[data-work-id=50217880]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50217880; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50217880']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=50217880]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50217880,"title":"The Product M estimators of regression for bivariate data","internal_url":"https://www.academia.edu/50217880/The_Product_M_estimators_of_regression_for_bivariate_data","owner_id":107329771,"coauthors_can_edit":true,"owner":{"id":107329771,"first_name":"deluar","middle_initials":null,"last_name":"moloy","page_name":"deluarmoloy","domain_name":"bhashanibd","created_at":"2019-04-01T09:12:09.705-07:00","display_name":"deluar moloy","url":"https://bhashanibd.academia.edu/deluarmoloy"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/google_contacts-0dfb882d836b94dbcb4a2d123d6933fc9533eda5be911641f20b4eb428429600.js"], function() { // from javascript_helper.rb $('.js-google-connect-button').click(function(e) { e.preventDefault(); GoogleContacts.authorize_and_show_contacts(); Aedu.Dismissibles.recordClickthrough("WowProfileImportContactsPrompt"); }); $('.js-update-biography-button').click(function(e) { e.preventDefault(); Aedu.Dismissibles.recordClickthrough("UpdateUserBiographyPrompt"); $.ajax({ url: $r.api_v0_profiles_update_about_path({ subdomain_param: 'api', about: "", }), type: 'PUT', success: function(response) { location.reload(); } }); }); $('.js-work-creator-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_document_path({ source: encodeURIComponent(""), }); }); $('.js-video-upload-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_video_path({ source: encodeURIComponent(""), }); }); $('.js-do-this-later-button').click(function() { $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("WowProfileImportContactsPrompt"); }); $('.js-update-biography-do-this-later-button').click(function(){ $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("UpdateUserBiographyPrompt"); }); $('.wow-profile-mentions-upsell--close').click(function(){ $('.wow-profile-mentions-upsell--panel').hide(); Aedu.Dismissibles.recordDismissal("WowProfileMentionsUpsell"); }); $('.wow-profile-mentions-upsell--button').click(function(){ Aedu.Dismissibles.recordClickthrough("WowProfileMentionsUpsell"); }); new WowProfile.SocialRedesignUserWorks({ initialWorksOffset: 20, allWorksOffset: 20, maxSections: 1 }) }); </script> </div></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile_edit-5ea339ee107c863779f560dd7275595239fed73f1a13d279d2b599a28c0ecd33.js","https://a.academia-assets.com/assets/add_coauthor-22174b608f9cb871d03443cafa7feac496fb50d7df2d66a53f5ee3c04ba67f53.js","https://a.academia-assets.com/assets/tab-dcac0130902f0cc2d8cb403714dd47454f11fc6fb0e99ae6a0827b06613abc20.js","https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js"], function() { // from javascript_helper.rb window.ae = window.ae || {}; window.ae.WowProfile = window.ae.WowProfile || {}; if(Aedu.User.current && Aedu.User.current.id === $viewedUser.id) { window.ae.WowProfile.current_user_edit = {}; new WowProfileEdit.EditUploadView({ el: '.js-edit-upload-button-wrapper', model: window.$current_user, }); new AddCoauthor.AddCoauthorsController(); } var userInfoView = new WowProfile.SocialRedesignUserInfo({ recaptcha_key: "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB" }); WowProfile.router = new WowProfile.Router({ userInfoView: userInfoView }); Backbone.history.start({ pushState: true, root: "/" + $viewedUser.page_name }); new WowProfile.UserWorksNav() }); </script> </div> <div class="bootstrap login"><div class="modal fade login-modal" id="login-modal"><div class="login-modal-dialog modal-dialog"><div class="modal-content"><div class="modal-header"><button class="close close" data-dismiss="modal" type="button"><span aria-hidden="true">×</span><span class="sr-only">Close</span></button><h4 class="modal-title text-center"><strong>Log In</strong></h4></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><button class="btn btn-fb btn-lg btn-block btn-v-center-content" id="login-facebook-oauth-button"><svg style="float: left; width: 19px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="facebook-square" class="svg-inline--fa fa-facebook-square fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M400 32H48A48 48 0 0 0 0 80v352a48 48 0 0 0 48 48h137.25V327.69h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.27c-30.81 0-40.42 19.12-40.42 38.73V256h68.78l-11 71.69h-57.78V480H400a48 48 0 0 0 48-48V80a48 48 0 0 0-48-48z"></path></svg><small><strong>Log in</strong> with <strong>Facebook</strong></small></button><br /><button class="btn btn-google btn-lg btn-block btn-v-center-content" id="login-google-oauth-button"><svg style="float: left; width: 22px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="google-plus" class="svg-inline--fa fa-google-plus fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256,8C119.1,8,8,119.1,8,256S119.1,504,256,504,504,392.9,504,256,392.9,8,256,8ZM185.3,380a124,124,0,0,1,0-248c31.3,0,60.1,11,83,32.3l-33.6,32.6c-13.2-12.9-31.3-19.1-49.4-19.1-42.9,0-77.2,35.5-77.2,78.1S142.3,334,185.3,334c32.6,0,64.9-19.1,70.1-53.3H185.3V238.1H302.2a109.2,109.2,0,0,1,1.9,20.7c0,70.8-47.5,121.2-118.8,121.2ZM415.5,273.8v35.5H380V273.8H344.5V238.3H380V202.8h35.5v35.5h35.2v35.5Z"></path></svg><small><strong>Log in</strong> with <strong>Google</strong></small></button><br /><style type="text/css">.sign-in-with-apple-button { width: 100%; height: 52px; border-radius: 3px; border: 1px solid black; cursor: pointer; } .sign-in-with-apple-button > div { margin: 0 auto; / This centers the Apple-rendered button horizontally }</style><script src="https://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js" type="text/javascript"></script><div class="sign-in-with-apple-button" data-border="false" data-color="white" id="appleid-signin"><span   ="Sign Up with Apple" class="u-fs11"></span></div><script>AppleID.auth.init({ clientId: 'edu.academia.applesignon', scope: 'name email', redirectURI: 'https://www.academia.edu/sessions', state: "b32f5af95469dbebaa4c6f7a5c5a1193128a1e28de4035e6ee98da092679b648", });</script><script>// Hacky way of checking if on fast loswp if (window.loswp == null) { (function() { const Google = window?.Aedu?.Auth?.OauthButton?.Login?.Google; const Facebook = window?.Aedu?.Auth?.OauthButton?.Login?.Facebook; if (Google) { new Google({ el: '#login-google-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } if (Facebook) { new Facebook({ el: '#login-facebook-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } })(); }</script></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><div class="hr-heading login-hr-heading"><span class="hr-heading-text">or</span></div></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><form class="js-login-form" action="https://www.academia.edu/sessions" accept-charset="UTF-8" method="post"><input type="hidden" name="authenticity_token" value="Y3n4ZD9sTFr4m6SOLtu7N4DEAPe0qJVJ5CdbMRwOsrl3oBGuJihfDx6-1Ph2FYgm_8T0i-Ornv5j3CVjQofgEg" autocomplete="off" /><div class="form-group"><label class="control-label" for="login-modal-email-input" style="font-size: 14px;">Email</label><input class="form-control" id="login-modal-email-input" name="login" type="email" /></div><div class="form-group"><label class="control-label" for="login-modal-password-input" style="font-size: 14px;">Password</label><input class="form-control" id="login-modal-password-input" name="password" type="password" /></div><input type="hidden" name="post_login_redirect_url" id="post_login_redirect_url" value="https://bhashanibd.academia.edu/deluarmoloy" autocomplete="off" /><div class="checkbox"><label><input type="checkbox" name="remember_me" id="remember_me" value="1" checked="checked" /><small style="font-size: 12px; margin-top: 2px; display: inline-block;">Remember me on this computer</small></label></div><br><input type="submit" name="commit" value="Log In" class="btn btn-primary btn-block btn-lg js-login-submit" data-disable-with="Log In" /></br></form><script>typeof window?.Aedu?.recaptchaManagedForm === 'function' && window.Aedu.recaptchaManagedForm( document.querySelector('.js-login-form'), document.querySelector('.js-login-submit') );</script><small style="font-size: 12px;"><br />or <a data-target="#login-modal-reset-password-container" data-toggle="collapse" href="javascript:void(0)">reset password</a></small><div class="collapse" id="login-modal-reset-password-container"><br /><div class="well margin-0x"><form class="js-password-reset-form" action="https://www.academia.edu/reset_password" accept-charset="UTF-8" method="post"><input type="hidden" name="authenticity_token" value="na7ulIPXMDp-Q2nTtDwhJaxcTZGZ16hxOUbZd3EkFx2JdwdempMjb5hmGaXs8hI001y57c7Uo8a-vaclL61Ftg" autocomplete="off" /><p>Enter the email address you signed up with and we'll email you a reset link.</p><div class="form-group"><input class="form-control" name="email" type="email" /></div><script src="https://recaptcha.net/recaptcha/api.js" async defer></script> <script> var invisibleRecaptchaSubmit = function () { var closestForm = function (ele) { var curEle = ele.parentNode; while (curEle.nodeName !== 'FORM' && curEle.nodeName !== 'BODY'){ curEle = curEle.parentNode; } return curEle.nodeName === 'FORM' ? curEle : null }; var eles = document.getElementsByClassName('g-recaptcha'); if (eles.length > 0) { var form = closestForm(eles[0]); if (form) { form.submit(); } } }; </script> <input type="submit" data-sitekey="6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj" data-callback="invisibleRecaptchaSubmit" class="g-recaptcha btn btn-primary btn-block" value="Email me a link" value=""/> </form></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/collapse-45805421cf446ca5adf7aaa1935b08a3a8d1d9a6cc5d91a62a2a3a00b20b3e6a.js"], function() { // from javascript_helper.rb $("#login-modal-reset-password-container").on("shown.bs.collapse", function() { $(this).find("input[type=email]").focus(); }); }); </script> </div></div></div><div class="modal-footer"><div class="text-center"><small style="font-size: 12px;">Need an account? <a rel="nofollow" href="https://www.academia.edu/signup">Click here to sign up</a></small></div></div></div></div></div></div><script>// If we are on subdomain or non-bootstrapped page, redirect to login page instead of showing modal (function(){ if (typeof $ === 'undefined') return; var host = window.location.hostname; if ((host === $domain || host === "www."+$domain) && (typeof $().modal === 'function')) { $("#nav_log_in").click(function(e) { // Don't follow the link and open the modal e.preventDefault(); $("#login-modal").on('shown.bs.modal', function() { $(this).find("#login-modal-email-input").focus() }).modal('show'); }); } })()</script> <div class="bootstrap" id="footer"><div class="footer-content clearfix text-center padding-top-7x" style="width:100%;"><ul class="footer-links-secondary footer-links-wide list-inline margin-bottom-1x"><li><a href="https://www.academia.edu/about">About</a></li><li><a href="https://www.academia.edu/press">Press</a></li><li><a href="https://www.academia.edu/documents">Papers</a></li><li><a href="https://www.academia.edu/topics">Topics</a></li><li><a href="https://www.academia.edu/journals">Academia.edu Journals</a></li><li><a rel="nofollow" href="https://www.academia.edu/hiring"><svg style="width: 13px; height: 13px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="briefcase" class="svg-inline--fa fa-briefcase fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M320 336c0 8.84-7.16 16-16 16h-96c-8.84 0-16-7.16-16-16v-48H0v144c0 25.6 22.4 48 48 48h416c25.6 0 48-22.4 48-48V288H320v48zm144-208h-80V80c0-25.6-22.4-48-48-48H176c-25.6 0-48 22.4-48 48v48H48c-25.6 0-48 22.4-48 48v80h512v-80c0-25.6-22.4-48-48-48zm-144 0H192V96h128v32z"></path></svg> <strong>We're Hiring!</strong></a></li><li><a rel="nofollow" href="https://support.academia.edu/hc/en-us"><svg style="width: 12px; height: 12px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="question-circle" class="svg-inline--fa fa-question-circle fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M504 256c0 136.997-111.043 248-248 248S8 392.997 8 256C8 119.083 119.043 8 256 8s248 111.083 248 248zM262.655 90c-54.497 0-89.255 22.957-116.549 63.758-3.536 5.286-2.353 12.415 2.715 16.258l34.699 26.31c5.205 3.947 12.621 3.008 16.665-2.122 17.864-22.658 30.113-35.797 57.303-35.797 20.429 0 45.698 13.148 45.698 32.958 0 14.976-12.363 22.667-32.534 33.976C247.128 238.528 216 254.941 216 296v4c0 6.627 5.373 12 12 12h56c6.627 0 12-5.373 12-12v-1.333c0-28.462 83.186-29.647 83.186-106.667 0-58.002-60.165-102-116.531-102zM256 338c-25.365 0-46 20.635-46 46 0 25.364 20.635 46 46 46s46-20.636 46-46c0-25.365-20.635-46-46-46z"></path></svg> <strong>Help Center</strong></a></li></ul><ul class="footer-links-tertiary list-inline margin-bottom-1x"><li class="small">Find new research papers in:</li><li class="small"><a href="https://www.academia.edu/Documents/in/Physics">Physics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Chemistry">Chemistry</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Biology">Biology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Health_Sciences">Health Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Ecology">Ecology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a></li></ul></div></div><div class="DesignSystem" id="credit" style="width:100%;"><ul class="u-pl0x footer-links-legal list-inline"><li><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li>Academia ©2025</li></ul></div><script> //<![CDATA[ window.detect_gmtoffset = true; window.Academia && window.Academia.set_gmtoffset && Academia.set_gmtoffset('/gmtoffset'); //]]> </script> <div id='overlay_background'></div> <div id='bootstrap-modal-container' class='bootstrap'></div> <div id='ds-modal-container' class='bootstrap DesignSystem'></div> <div id='full-screen-modal'></div> </div> </body> </html>