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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Detalles Bibliográficos
Autor principal: Britt, Chester L. (Autor)
Otros Autores: Rocque, Michael ; Zimmerman, Gregory M.
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2018
En: Journal of quantitative criminology
Año: 2018, Volumen: 34, Número: 2, Páginas: 591-607
Acceso en línea: Volltext (Resolving-System)
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Palabras clave:
Binomial regression
Count data
Negative binomial regression
Poisson regression
Variety scores
Descripción
Sumario: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