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http://dx.doi.org/10.5351/KJAS.2010.23.6.1225

A Statistical Model for Decisions on Arrest Warrants  

Kim, Jung-Hun (Jinju Public Prosecutors' Office)
Lee, Na-Rae (Department of Information and Statistics, Gyeongsang National University)
Lee, Gye-Min (Department of Information and Statistics, Gyeongsang National University)
Publication Information
The Korean Journal of Applied Statistics / v.23, no.6, 2010 , pp. 1225-1234 More about this Journal
Abstract
When most examining judges deny the request for an arrest warrant, they cite (as a reason) that there is no worry about escape or the destruction of evidence. Consequently, there has been no knowing what characteristics of a crime mainly affect the decision for an arrest warrant and there has been significant dispute about the exact decision criteria used for an arrest warrant. This paper classified the data about the request of arrest warrants for crimes committed in the jurisdiction of the Jinju Public Prosecutors' Office in 2006, 2007 and 2008, into 7 categories according to characteristics of the crimes. For each category we construct a statistical model about the decision on arrest warrants by applying a crosstabulation analysis in order to look for the characteristic of crime that affect the decision for an arrest warrant.
Keywords
Arrest; arrest warrant; probation; repeat offenses; crosstabulation analysis;
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