Research On Vehicle Insurance Pricing Based On GLM And Mixed Model

In the rapid development of today's society,vehicle ownership is growing.Vehicles in the convenience of people traveling at the same time bring more traffic accidents inevitably,at the same time,with the increase in people's insurance awareness,the market for motor vehicle insurance business is booming.In the face of many consumers with different needs,the traditional vehicle insurance pricing method is difficult to meet different consumers at the same time.Thus,the new type of vehicle insurance pricing must have a more precise orientation.Therefore,it is important to accurately analyze the consumer's tendency to insure,the influencing factors of the vehicle accident and so on,and reasonably determine the price of various insurance products,which is of great significance to the insurance companies and consumers.In this paper,the generalized linear model is used to analyze the four related indexes,and the validity of the claim is estimated while analyzing the validity of the claim.Secondly,in the study of the claim strength,this paper uses the mixed inverse Gaussian model to analyze the claim strength of the vehicle insurance pricing for the first time.The EM algorithm is used to solve the model by means of the EM algorithm,and the existing hybrid gamma model Comparative Study.In addition,the effect of mixed function model and single function model is compared.In the study of the frequency of the claim,the generalized linear model analysis results show that the four indexes selected in this paper contain the information of the original data.The results of the research on the strength of the claim show that the hybrid function model is superior to the single function model,and the mixed inverse Gaussian model has a great advantage compared with the mixed gamma model.Therefore,the use of mixed inverse Gaussian model can be better on the motor vehicle insurance pricing index analysis of the characterization.