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Analysis of Violent Crime Count Data Based on Bivariate Conditional Auto-Regressive Model
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 Title & Authors
Analysis of Violent Crime Count Data Based on Bivariate Conditional Auto-Regressive Model
Choi, Jung-Soon; Park, Man-Sik; Won, Yu-Bok; Kim, Hag-Yeol; Heo, Tae-Young;
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In this study, we considered bivariate conditional auto-regressive model taking into account spatial association as well as correlation between the two dependent variables, which are the counts of murder and burglary. We conducted likelihood ratio test for checking over-dispersion issues prior to applying spatial poisson models. For the real application, we used the annual counts of violent crimes at 25 districts of Seoul in 2007. The statistical results are visually illustrated by geographical information system.
Violent crime;spatial poisson model;bivariate conditional auto-regressive model;
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