From Poisson to the present: Applying operations research to problems of crime and justice

In the 1830s Siméon-Denis Poisson developed the distribution that bears his name, basing it on the binomial distribution. He used it to show how the inherent variance in jury decisions affected the inferences that could be made about the probability of conviction in French courts. In recent years th...

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Detalles Bibliográficos
Autor principal: Maltz, Michael D. (Autor)
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 1996
En: Journal of quantitative criminology
Año: 1996, Volumen: 12, Número: 1, Páginas: 3-61
Acceso en línea: Volltext (lizenzpflichtig)
Volltext (lizenzpflichtig)
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Palabras clave:
Criminal Justice
Crime
Poisson distribution
statistical modeling
Mathematical modeling
Operations Research
Descripción
Sumario:In the 1830s Siméon-Denis Poisson developed the distribution that bears his name, basing it on the binomial distribution. He used it to show how the inherent variance in jury decisions affected the inferences that could be made about the probability of conviction in French courts. In recent years there have been a number of examples where researchers have either ignored or forgotten this inherent variance, and how operations research, in particular mathematical modeling, can be used to incorporate this variance in analyses. These are described in this paper, as well as other contributions made by operations research to the study of crime and criminal justice.
ISSN:1573-7799
DOI:10.1007/BF02354470