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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Bibliographische Detailangaben
1. VerfasserIn: Britt, Chester L. -2016 (VerfasserIn)
Beteiligte: Rocque, Michael ; Zimmerman, Gregory M.
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2018
In: Journal of quantitative criminology
Jahr: 2018, Band: 34, Heft: 2, Seiten: 591-607
Online-Zugang: Volltext (Resolving-System)
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Schlagwörter:
Negative binomial regression
Poisson regression
Count data
Variety scores
Binomial regression
Beschreibung
Zusammenfassung: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