Methodology and Computing in Applied Probability

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Of special interest are articles in important areas of applications that include detailed case studies. Applied probability is a broad research area that is of interest to many scientists in diverse disciplines including: anthropology, biology, communication theory, economics, epidemiology, finance, linguistics, meteorology, operations research, psychology, quality control, reliability theory, sociology and statistics. The following alphabetical listing of topics of interest to the journal is not intended to be exclusive but to demonstrate the editorial policy of attracting papers which represent a broad range of interests: Algorithms Approximations Asymptotic Approximations & Expansions Combinatorial & Geometric Probability Communication Networks Extreme Value Theory Finance Image Analysis Inequalities Information Theory Mathematical Physics Molecular Biology Monte Carlo Methods Order Statistics Queuing Theory Reliability Theory Stochastic Processes</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-07-21</div> </div> </div>  <div class="portlet" id="yw3"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-file"></i> Related Journals</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw4" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> 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Methodology and Computing in Applied Probability