Simulation on Poisson and negative binomial models of count road accident modeling

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

Abstract

Accident count data have often been shown to have overdispersion. On the other hand, the data might contain zero count (excess zeros). The simulation study was conducted to create a scenarios which an accident happen in T-junction with the assumption the dependent variables of generated data follows certain distribution namely Poisson and negative binomial distribution with different sample size of n=30 to n=500. The study objective was accomplished by fitting Poisson regression, negative binomial regression and Hurdle negative binomial model to the simulated data. The model validation was compared and the simulation result shows for each different sample size, not all model fit the data nicely even though the data generated from its own distribution especially when the sample size is larger. Furthermore, the larger sample size indicates that more zeros accident count in the dataset.

Original languageEnglish
Title of host publication2016 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2016 Postgraduate Colloquium
PublisherAmerican Institute of Physics Inc.
Volume1784
ISBN (Electronic)9780735414464
DOIs
Publication statusPublished - 17 Nov 2016
Event2016 Postgraduate Colloquium of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology, UKM FST 2016 - Selangor, Malaysia
Duration: 13 Apr 201614 Apr 2016

Other

Other2016 Postgraduate Colloquium of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology, UKM FST 2016
CountryMalaysia
CitySelangor
Period13/4/1614/4/16

Fingerprint

accidents
roads
regression analysis
simulation
dependent variables

Keywords

  • Hurdle negative binomial
  • negative binomial
  • Poisson
  • Road accident
  • simulation study

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Sapuan, M. S., Razali, A. M., Zamzuri, Z. H., & Ibrahim, K. (2016). Simulation on Poisson and negative binomial models of count road accident modeling. In 2016 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2016 Postgraduate Colloquium (Vol. 1784). [050009] American Institute of Physics Inc.. https://doi.org/10.1063/1.4966828

Simulation on Poisson and negative binomial models of count road accident modeling. / Sapuan, M. S.; Razali, Ahmad Mahir; Zamzuri, Zamira Hasanah; Ibrahim, Kamarulzaman.

2016 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2016 Postgraduate Colloquium. Vol. 1784 American Institute of Physics Inc., 2016. 050009.

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

Sapuan, MS, Razali, AM, Zamzuri, ZH & Ibrahim, K 2016, Simulation on Poisson and negative binomial models of count road accident modeling. in 2016 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2016 Postgraduate Colloquium. vol. 1784, 050009, American Institute of Physics Inc., 2016 Postgraduate Colloquium of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology, UKM FST 2016, Selangor, Malaysia, 13/4/16. https://doi.org/10.1063/1.4966828
Sapuan MS, Razali AM, Zamzuri ZH, Ibrahim K. Simulation on Poisson and negative binomial models of count road accident modeling. In 2016 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2016 Postgraduate Colloquium. Vol. 1784. American Institute of Physics Inc. 2016. 050009 https://doi.org/10.1063/1.4966828
Sapuan, M. S. ; Razali, Ahmad Mahir ; Zamzuri, Zamira Hasanah ; Ibrahim, Kamarulzaman. / Simulation on Poisson and negative binomial models of count road accident modeling. 2016 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2016 Postgraduate Colloquium. Vol. 1784 American Institute of Physics Inc., 2016.
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