Analysis of vehicle theft

A case study in Malaysia using functional forms of negative binomial regression models

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

This paper proposes the application of the two well known models of negative binomial regression, namely the NB-1 and the NB-2, and the functional form of negative binomial regression, namely the NB-P, for the analysis of vehicle theft crime. The advantage of using the NB-P is that it parametrically nests both the NB-1 and the NB-2, and allows statistical tests of the NB-1 and the NB-2 models against a more general alternative. In this study, the functional forms of negative binomial regression model were fitted to vehicle theft crime data obtained and compiled from ten insurance companies in Malaysia. The results of this study indicate that the risks of vehicle theft are higher for vehicles above eight years, vehicles above 1800 c.c., local vehicles and vehicles located in the central area of Malaysia.

Original languageEnglish
Pages (from-to)389-395
Number of pages7
JournalApplied Mathematics and Information Sciences
Volume7
Issue number2 L
DOIs
Publication statusPublished - Jun 2013

Fingerprint

Binomial Model
Negative Binomial
Malaysia
Regression Model
Regression
Nest
Statistical test
Crime
Insurance
Alternatives
Statistical tests
Model
Form

Keywords

  • Crime index
  • Functional form
  • Negative binomial regression
  • Overdispersion
  • Poisson regression
  • Vehicle theft

ASJC Scopus subject areas

  • Applied Mathematics
  • Numerical Analysis
  • Analysis
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

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abstract = "This paper proposes the application of the two well known models of negative binomial regression, namely the NB-1 and the NB-2, and the functional form of negative binomial regression, namely the NB-P, for the analysis of vehicle theft crime. The advantage of using the NB-P is that it parametrically nests both the NB-1 and the NB-2, and allows statistical tests of the NB-1 and the NB-2 models against a more general alternative. In this study, the functional forms of negative binomial regression model were fitted to vehicle theft crime data obtained and compiled from ten insurance companies in Malaysia. The results of this study indicate that the risks of vehicle theft are higher for vehicles above eight years, vehicles above 1800 c.c., local vehicles and vehicles located in the central area of Malaysia.",
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