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Rahim Mahmoudvand

Rahim Mahmoudvand

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 35146363700
HIndex:
Faculty: Faculty of Science
Address:
Phone:

Research

Title
Generalised form of Bonus-Malus System Using Finite Mixture Models
Type
JournalPaper
Keywords
Bonus-Malus System, Mixture model, Bayes theorem
Year
2017
Journal Statistics, Optimization & Information Computing
DOI
Researchers Saeed Mohammadpour ، Karzan Saeedi ، Rahim Mahmoudvand

Abstract

There is a vast literature on Bonus-Malus System (BMS), in which a policyholders responsible for positive claims will be penalised by a malus and the policyholders who had no claim will be rewarded by a bonus. In this paper, we present an optimal BMS using finite mixture models. We conduct a numerical study to compare the new model with the current BMS that use finite mixture models.