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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan
Sandy Vantika
Statistics Research Division, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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POISSON REGRESSION MODELLING OF AUTOMOBILE INSURANCE USING R Sandy Vantika; Mokhammad Ridwan Yudhanegara; Karunia Eka Lestari
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (598.566 KB) | DOI: 10.30598/barekengvol16iss4pp1399-1410

Abstract

Automobile insurance benefits are protecting the vehicle and minimizing customer losses. Insurance companies must provide funds to pay customer claims if a claim occurs. Insurance claims can be modelled by Poisson regression. Poisson regression is used to analyze the count data with Poisson distributed data responses. this paper, the data model of sample is automobile insurance claims from the companies in one year (in 2021) of observation which contains three types of insurance products, i.e., Total Loss Only (TLO), All Risk, and Comprehensive. The results of data analysis show that the highest number of claims comes from Comprehensive insurance products, especially if the premium value gets more extensive. In contrast, the least comes from TLO insurance products.
Co-Authors Karunia Eka Lestari Mokhammad Ridwan Yudhanegara