Modeling the number of car theft using Poisson regression

Malina Zulkifli, Agnes Beh Yen Ling, Maznah Mat Kasim, Noriszura Ismail

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Regression analysis is the most popular statistical methods used to express the relationship between the variables of response with the covariates. The aim of this paper is to evaluate the factors that influence the number of car theft using Poisson regression model. This paper will focus on the number of car thefts that occurred in districts in Peninsular Malaysia. There are two groups of factor that have been considered, namely district descriptive factors and socio and demographic factors. The result of the study showed that Bumiputera composition, Chinese composition, Other ethnic composition, foreign migration, number of residence with the age between 25 to 64, number of employed person and number of unemployed person are the most influence factors that affect the car theft cases. These information are very useful for the law enforcement department, insurance company and car owners in order to reduce and limiting the car theft cases in Peninsular Malaysia.

Original languageEnglish
Title of host publication4th International Conference on Quantitative Sciences and Its Applications, ICOQSIA 2016
PublisherAmerican Institute of Physics Inc.
Volume1782
ISBN (Electronic)9780735414440
DOIs
Publication statusPublished - 25 Oct 2016
Event4th International Conference on Quantitative Sciences and Its Applications, ICOQSIA 2016 - Bangi, Selangor, Malaysia
Duration: 16 Aug 201618 Aug 2016

Other

Other4th International Conference on Quantitative Sciences and Its Applications, ICOQSIA 2016
CountryMalaysia
CityBangi, Selangor
Period16/8/1618/8/16

Fingerprint

regression analysis
Malaysia

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Zulkifli, M., Ling, A. B. Y., Kasim, M. M., & Ismail, N. (2016). Modeling the number of car theft using Poisson regression. In 4th International Conference on Quantitative Sciences and Its Applications, ICOQSIA 2016 (Vol. 1782). [050018] American Institute of Physics Inc.. https://doi.org/10.1063/1.4966108

Modeling the number of car theft using Poisson regression. / Zulkifli, Malina; Ling, Agnes Beh Yen; Kasim, Maznah Mat; Ismail, Noriszura.

4th International Conference on Quantitative Sciences and Its Applications, ICOQSIA 2016. Vol. 1782 American Institute of Physics Inc., 2016. 050018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zulkifli, M, Ling, ABY, Kasim, MM & Ismail, N 2016, Modeling the number of car theft using Poisson regression. in 4th International Conference on Quantitative Sciences and Its Applications, ICOQSIA 2016. vol. 1782, 050018, American Institute of Physics Inc., 4th International Conference on Quantitative Sciences and Its Applications, ICOQSIA 2016, Bangi, Selangor, Malaysia, 16/8/16. https://doi.org/10.1063/1.4966108
Zulkifli M, Ling ABY, Kasim MM, Ismail N. Modeling the number of car theft using Poisson regression. In 4th International Conference on Quantitative Sciences and Its Applications, ICOQSIA 2016. Vol. 1782. American Institute of Physics Inc. 2016. 050018 https://doi.org/10.1063/1.4966108
Zulkifli, Malina ; Ling, Agnes Beh Yen ; Kasim, Maznah Mat ; Ismail, Noriszura. / Modeling the number of car theft using Poisson regression. 4th International Conference on Quantitative Sciences and Its Applications, ICOQSIA 2016. Vol. 1782 American Institute of Physics Inc., 2016.
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