American Journal of Biostatistics | |
INFORMATICS ABOUT FEAR TO REPORT RAPES USING BUMPED-UP POISSON MODEL | Science Publications | |
Ramalingam Shanmugam1  | |
关键词: Prevalence; Conditional Probability; Likelihood; Odds Ratio; | |
DOI : 10.3844/amjbsp.2013.17.29 | |
学科分类:卫生学 | |
来源: 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.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201911300069856ZK.pdf | 360KB | download |