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Improved Estimation Strategies of Sensitive Characteristics Using Scrambled Response Techniques in Successive Sampling
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/></div></noscript> <!-- /Yandex.Metrika counter --> <!-- Matomo --> <!-- End Matomo Code --> <title>Improved Estimation Strategies of Sensitive Characteristics Using Scrambled Response Techniques in Successive Sampling</title> <meta name="description" content="Improved Estimation Strategies of Sensitive Characteristics Using Scrambled Response Techniques in Successive Sampling"> <meta name="keywords" content="scrambled response, sensitive characteristic, successive sampling, optimum replacement strategy"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link 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Suman</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20N.%20Singh"> G. N. Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research work is an effort to analyse the consequences of scrambled response technique to estimate the current population mean in two-occasion successive sampling when the characteristic of interest is sensitive in nature. The generalized estimation procedures have been proposed using sensitive auxiliary variables under additive and multiplicative scramble models. The properties of resultant estimators have been deeply examined. Simulation, as well as empirical studies, are carried out to evaluate the performances of the proposed estimators with respect to other competent estimators. The results of our studies suggest that the proposed estimation procedures are highly effective under the presence of non-response situation. The result of this study also suggests that additive scrambled response model is a better choice in the perspective of cost of the survey and privacy of the respondents. <iframe src="https://publications.waset.org/abstracts/95355.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=scrambled%20response" title="scrambled response">scrambled response</a>, <a href="https://publications.waset.org/abstracts/search?q=sensitive%20characteristic" title=" sensitive characteristic"> sensitive characteristic</a>, <a href="https://publications.waset.org/abstracts/search?q=successive%20sampling" title=" successive sampling"> successive sampling</a>, <a href="https://publications.waset.org/abstracts/search?q=optimum%20replacement%20strategy" title=" optimum replacement strategy"> optimum replacement strategy</a> </p> <a href="https://publications.waset.org/abstracts/95355/improved-estimation-strategies-of-sensitive-characteristics-using-scrambled-response-techniques-in-successive-sampling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95355.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">177</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational 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