文章基本信息

标题：Informatics About Fear to Report Rapes Using Bumped-Up Poisson Model
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作者：Shanmugam, Ramalingam
期刊名称：American Journal of Biostatistics
印刷版ISSN：1948-9889
电子版ISSN：1948-9897
出版年度：2013
卷号：3
期号：1
页码：17-29
DOI：10.3844/amjbsp.2013.17.29
出版社：Science Publications
摘要：The rape victims are frightened to report with a fear of retaliation or humiliation. Consequently, the number of reported rapes is under-estimated. How should the number of unreported rapes be identified is discussed in this article. For this purpose, the Poisson distribution is modified and it is named Bumped-up Poisson distribution in this article. Related probability-informatics are derived to estimate the unreported rapes and proportion fearing to report. A hypothesis testing procedure is developed to assess the significance of an estimated proportion fearing. Our approach is tried with the reported rapes during the years 2007 and 2008 in a random sample of nations in all the continents. Proximities among the nations are identified in rape incidences.
关键词：Prevalence; Conditional Probability; Likelihood; Odds Ratio