Measuring and Modeling Repeat and Near-Repeat Burglary Effects

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We develop a mathematical framework aimed at analyzing repeat and near-repeat effects in crime data. Parsing burglary data from Long Beach, CA according to different counting methods, we determine the probability distribution functions for the time interval τ between repeat offenses. We then compare...

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Bibliographic Details
Main Author: Short, M. B. (Author)
Contributors: D’Orsogna, M. R. ; Brantingham, P. J. ; Tita, G. E.
Format: Electronic Article
Language:English
Published: 2009
In: Journal of quantitative criminology
Year: 2009, Volume: 25, Issue: 3, Pages: 325-339
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Keywords:
Event dependence
Burglary
Repeat victimization