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INFORMATICS ABOUT FEAR TO REPORT RAPES USING BUMPED-UP POISSON MODEL | Science Publications

机译:使用增强的泊松模型报告恐惧的信息科学出版物

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> 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.
机译: >强奸受害者害怕害怕报复或遭受侮辱而举报。因此,被强奸的报道数量被低估了。本文讨论了如何识别未报告的强奸案数量。为此,对泊松分布进行了修改,在本文中将其命名为“凸起的泊松分布”。推导了相关的概率信息学,以估计未报告的强奸和害怕报告的比例。建立假设检验程序来评估估计比例恐惧的重要性。我们的方法是在2007年和2008年间随机报告的所有大洲国家的强奸案中尝试使用的。在强奸发生率中确定了各国之间的距离。

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