The Analysis of Bounded Count Data in Criminology

Criminological research utilizes several types of delinquency scales, including frequency counts and, increasingly, variety scores. The latter counts the number of distinct types of crimes an individual has committed. Often, variety scores are modeled via count regression techniques (e.g., Poisson,...

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Bibliographic Details
Main Author: Britt, Chester L. -2016 (Author)
Contributors: Rocque, Michael ; Zimmerman, Gregory M.
Format: Electronic Article
Language:English
Published: 2018
In: Journal of quantitative criminology
Year: 2018, Volume: 34, Issue: 2, Pages: 591-607
Online Access: Volltext (Resolving-System)
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Keywords:
Negative binomial regression
Poisson regression
Count data
Variety scores
Binomial regression
Description
Summary:Criminological research utilizes several types of delinquency scales, including frequency counts and, increasingly, variety scores. The latter counts the number of distinct types of crimes an individual has committed. Often, variety scores are modeled via count regression techniques (e.g., Poisson, negative binomial), which are best suited to the analysis of unbounded count data. Variety scores, however, are inherently bounded.
ISSN:1573-7799
DOI:10.1007/s10940-017-9346-9