Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model

The aim of this paper was to identify the determinants that influence vehicle theft by applying a negative binomial regression model.The identification of these determinants is very important to policy-makers, car-makers and car owners, as they can be used to establish practical steps for preventin...

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Main Authors: Zulkifli, Malina, Razali, Ahmad Mahir, Masseran, Nurulkamal, Ismail, Noriszura
Format: Article
Language:English
Published: Faculty of Science and Technology Universiti Kebangsaan Malaysia 2015
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/16540/1/Malina.pdf
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author Zulkifli, Malina
Razali, Ahmad Mahir
Masseran, Nurulkamal
Ismail, Noriszura
author_facet Zulkifli, Malina
Razali, Ahmad Mahir
Masseran, Nurulkamal
Ismail, Noriszura
author_sort Zulkifli, Malina
collection UUM
description The aim of this paper was to identify the determinants that influence vehicle theft by applying a negative binomial regression model.The identification of these determinants is very important to policy-makers, car-makers and car owners, as they can be used to establish practical steps for preventing or at least limiting vehicle thefts. In addition, this paper also proposed a crime mapping application that allows us to identify the most risky areas for vehicle theft. The results from this study can be utilized by local authorities as well as management of internal resource planning of insurance companies in planning effective strategies to reduce vehicle theft.Indirectly, this paper has built ingenuity by combining information obtained from the database of Jabatan Perangkaan Malaysia and insurance companies to pioneer the development of location map of vehicle theft in Malaysia.
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spelling uum-165402016-04-17T06:04:13Z https://repo.uum.edu.my/id/eprint/16540/ Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model Zulkifli, Malina Razali, Ahmad Mahir Masseran, Nurulkamal Ismail, Noriszura HA Statistics The aim of this paper was to identify the determinants that influence vehicle theft by applying a negative binomial regression model.The identification of these determinants is very important to policy-makers, car-makers and car owners, as they can be used to establish practical steps for preventing or at least limiting vehicle thefts. In addition, this paper also proposed a crime mapping application that allows us to identify the most risky areas for vehicle theft. The results from this study can be utilized by local authorities as well as management of internal resource planning of insurance companies in planning effective strategies to reduce vehicle theft.Indirectly, this paper has built ingenuity by combining information obtained from the database of Jabatan Perangkaan Malaysia and insurance companies to pioneer the development of location map of vehicle theft in Malaysia. Faculty of Science and Technology Universiti Kebangsaan Malaysia 2015 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/16540/1/Malina.pdf Zulkifli, Malina and Razali, Ahmad Mahir and Masseran, Nurulkamal and Ismail, Noriszura (2015) Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model. Sains Malaysiana, 44 (9). pp. 1363-1370. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol44num9_2015/vol44num9_2015p1363-1370.html
spellingShingle HA Statistics
Zulkifli, Malina
Razali, Ahmad Mahir
Masseran, Nurulkamal
Ismail, Noriszura
Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
title Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
title_full Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
title_fullStr Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
title_full_unstemmed Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
title_short Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
title_sort statistical analysis of vehicle theft crime in peninsular malaysia using negative binomial regression model
topic HA Statistics
url https://repo.uum.edu.my/id/eprint/16540/1/Malina.pdf
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AT razaliahmadmahir statisticalanalysisofvehicletheftcrimeinpeninsularmalaysiausingnegativebinomialregressionmodel
AT masserannurulkamal statisticalanalysisofvehicletheftcrimeinpeninsularmalaysiausingnegativebinomialregressionmodel
AT ismailnoriszura statisticalanalysisofvehicletheftcrimeinpeninsularmalaysiausingnegativebinomialregressionmodel