Research Article Open Access

Informatics About Fear to Report Rapes Using Bumped-Up Poisson Model

Ramalingam Shanmugam1
  • 1 Texas State University, USA
Current Research in Biostatistics
Volume 3 No. 1, 2013, 17-29

DOI: https://doi.org/10.3844/amjbsp.2013.17.29

Published On: 4 November 2013

How to Cite: Shanmugam, R. (2013). Informatics About Fear to Report Rapes Using Bumped-Up Poisson Model. Current Research in Biostatistics, 3(1), 17-29. https://doi.org/10.3844/amjbsp.2013.17.29

Abstract

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.

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Keywords

  • Prevalence
  • Conditional Probability
  • Likelihood
  • Odds Ratio