Analysis of vehicle theft: A case study in Malaysia using functional forms of negative binomial regression models

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...

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Main Authors: Zulkifli, Malina, Ismail, Noriszura, Razali, Ahmad Mahir
Format: Article
Published: Academic Journal 2013
Subjects:
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author Zulkifli, Malina
Ismail, Noriszura
Razali, Ahmad Mahir
author_facet Zulkifli, Malina
Ismail, Noriszura
Razali, Ahmad Mahir
author_sort Zulkifli, Malina
collection UUM
description 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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spelling uum-123812014-10-23T04:17:39Z https://repo.uum.edu.my/id/eprint/12381/ Analysis of vehicle theft: A case study in Malaysia using functional forms of negative binomial regression models Zulkifli, Malina Ismail, Noriszura Razali, Ahmad Mahir HV Social pathology. Social and public welfare QA76 Computer software 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. Academic Journal 2013 Article PeerReviewed Zulkifli, Malina and Ismail, Noriszura and Razali, Ahmad Mahir (2013) Analysis of vehicle theft: A case study in Malaysia using functional forms of negative binomial regression models. Applied Mathematics & Information Sciences, 7 (2L). pp. 389-395. ISSN 1935-0090 http://dx.doi.org/10.12785/amis/072L02 doi:10.12785/amis/072L02 doi:10.12785/amis/072L02
spellingShingle HV Social pathology. Social and public welfare
QA76 Computer software
Zulkifli, Malina
Ismail, Noriszura
Razali, Ahmad Mahir
Analysis of vehicle theft: A case study in Malaysia using functional forms of negative binomial regression models
title Analysis of vehicle theft: A case study in Malaysia using functional forms of negative binomial regression models
title_full Analysis of vehicle theft: A case study in Malaysia using functional forms of negative binomial regression models
title_fullStr Analysis of vehicle theft: A case study in Malaysia using functional forms of negative binomial regression models
title_full_unstemmed Analysis of vehicle theft: A case study in Malaysia using functional forms of negative binomial regression models
title_short Analysis of vehicle theft: A case study in Malaysia using functional forms of negative binomial regression models
title_sort analysis of vehicle theft a case study in malaysia using functional forms of negative binomial regression models
topic HV Social pathology. Social and public welfare
QA76 Computer software
work_keys_str_mv AT zulkiflimalina analysisofvehicletheftacasestudyinmalaysiausingfunctionalformsofnegativebinomialregressionmodels
AT ismailnoriszura analysisofvehicletheftacasestudyinmalaysiausingfunctionalformsofnegativebinomialregressionmodels
AT razaliahmadmahir analysisofvehicletheftacasestudyinmalaysiausingfunctionalformsofnegativebinomialregressionmodels