At vehicle insurance companies, the determination of the appropriate pure premium will make the business run well. In this study, we were modeling claims frequency data by considering the characteristics of policyholder such as policyholder’s age, marital status, sex, car engine capacity, and age. The data used in this study is a non-motor vehicle and non-truck motor vehicle insurance data, which filed claims during 2013 in a general insurance company. Explaining the significance or value of the research. We are using Generalized Linear Model Multivariate Poisson with Artificial Marginal (GLM-MPAM) to estimate model parameters. The parameter values of this model are estimated using the Maximum Likelihood Estimation method. Furthermore, the estimation result of the parameter can be alternative in the calculation of the pure premium in the next period.
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27 June 2019
THE 2018 UKM FST POSTGRADUATE COLLOQUIUM: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium
4–6 April 2018
Selangor, Malaysia
Research Article|
June 27 2019
Generalized linear model multivariate poisson with artificial marginal (GLM-MPAM): Application of vehicle insurance
Jamilatuzzahro;
Jamilatuzzahro
a)
1
Actuarial Science, Bandung Institute of Technology (ITB)
, Bandung, West Java, Indonesia
a)Corresponding author: jamilatuzz@gmail.com
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Rezzy Eko Caraka;
Rezzy Eko Caraka
b)
2
School of Mathematical Sciences, Faculty of Science and Technology, The National University of Malaysia
, Malaysia
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Dedi Aprinaldy;
Dedi Aprinaldy
1
Actuarial Science, Bandung Institute of Technology (ITB)
, Bandung, West Java, Indonesia
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Asma Mahadi
Asma Mahadi
2
School of Mathematical Sciences, Faculty of Science and Technology, The National University of Malaysia
, Malaysia
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a)Corresponding author: jamilatuzz@gmail.com
AIP Conf. Proc. 2111, 020013 (2019)
Citation
Jamilatuzzahro, Rezzy Eko Caraka, Dedi Aprinaldy, Asma Mahadi; Generalized linear model multivariate poisson with artificial marginal (GLM-MPAM): Application of vehicle insurance. AIP Conf. Proc. 27 June 2019; 2111 (1): 020013. https://doi.org/10.1063/1.5111220
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