Bivariate Mixed Poisson and Normal Generalised Linear Models with Sarmanov Dependence—An Application to Model Claim Frequency and Optimal Transformed Average Severity

Bivariate Mixed Poisson and Normal Generalised Linear Models with Sarmanov Dependence—An Application to Model Claim Frequency and Optimal Transformed Average Severity

The aim of this paper is to introduce dependence between the claim frequency and the average severity of a policyholder or of an insurance portfolio using a bivariate Sarmanov distribution, that allows to join variables of different types and with different distributions, thus being a good candidate...

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Bibliographic Details
Main Authors: Ramon Alemany, Catalina Bolancé, Roberto Rodrigo, Raluca Vernic
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Mathematics
Subjects:
Box-Cox transformation
dependence
bivariate Sarmanov distribution
motor insurance
telematic data
Online Access:https://www.mdpi.com/2227-7390/9/1/73

Internet

https://www.mdpi.com/2227-7390/9/1/73

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