The Study about Autumobile Insurance Based on Linear Empirical Bayesian Estimation
Affiliation(s)
Department of Mathematics, Southwest University of Science and Technology, Mianyang, China. Department of Mathematics, Jining University, Jining, China. Finance Institute, ZhongNan University of Economics and Law, Wuhan, China.
Department of Mathematics, Southwest University of Science and Technology, Mianyang, China. Department of Mathematics, Jining University, Jining, China. Finance Institute, ZhongNan University of Economics and Law, Wuhan, China.
ABSTRACT
Automobile insurance is one of the most popular research areas, and there are a lot of different methods for it .We uses linear empirical Bayesian estimation for the study of automobile insurance, giving the estimator of the policy’s future claim size. Thus, a new point of view is given on the pricing of automobile insurance.
Automobile insurance is one of the most popular research areas, and there are a lot of different methods for it .We uses linear empirical Bayesian estimation for the study of automobile insurance, giving the estimator of the policy’s future claim size. Thus, a new point of view is given on the pricing of automobile insurance.
Cite this paper
Q. Yu, Z. Yao, F. Zhang and Y. Zhou, "The Study about Autumobile Insurance Based on Linear Empirical Bayesian Estimation," Applied Mathematics, Vol. 3 No. 4, 2012, pp. 360-363. doi: 10.4236/am.2012.34056.
Q. Yu, Z. Yao, F. Zhang and Y. Zhou, "The Study about Autumobile Insurance Based on Linear Empirical Bayesian Estimation," Applied Mathematics, Vol. 3 No. 4, 2012, pp. 360-363. doi: 10.4236/am.2012.34056.
References
[1] J. Cao, P. Li and Y. Gao, “The Strategy Game Based on the Optimal Incentive Contract in Auto Insurance Market,” Statistics and Decision, Vol. 20, 2006, pp. 52-53. [2] Y.-B. Xu, Y.-X. Tian and D. Zhu, “The Property Insurance Pricing Research under Moral Hazard of the Insured Affecting Losing Probability,” The Second International Workshop on Intelligent Finance, Chengdu, 6-8 July 2007. [3] S.-W. Meng and W. Yuan, “Bonusmalus Systems in Automobile Insurance,” Chinese Journal of Applied Probability and Statistics, Vol. 15, No. 1, 1999, pp. 48-52. [4] X.-D. Hao and J.-M. Yu, “An Empirical Rating Actuarial Model with Claim Size Following Lognormal Distribution in Automobile Insurance,” Journal of Harbin University of Commerce (Natural Sciences Edition), Vol. 24, No. 3, 2008, pp. 382-384. [5] J.-M. Yu and X.-D. Hao, “An Empirical Rating Actuarial Model with Claim Size Following Lognormal Distribution in Automobile Insurance,” Journal of Shanghai Jiaotong University (Science), Vol. 42, No. 11, 2008, pp. 18361838. [6] X.-T. Zhang and H.-F. Chen, “Bayesian Statistical Inference,” Science and Technology Press, 1991. [7] P. Hu and Z.-H. Yuan, “Claimant Number of Times Essence Studies When Risk Is Not Same Quality,” Statistics and Decision, Vol. 11, 2007, pp. 21-22.
[1] J. Cao, P. Li and Y. Gao, “The Strategy Game Based on the Optimal Incentive Contract in Auto Insurance Market,” Statistics and Decision, Vol. 20, 2006, pp. 52-53. [2] Y.-B. Xu, Y.-X. Tian and D. Zhu, “The Property Insurance Pricing Research under Moral Hazard of the Insured Affecting Losing Probability,” The Second International Workshop on Intelligent Finance, Chengdu, 6-8 July 2007. [3] S.-W. Meng and W. Yuan, “Bonusmalus Systems in Automobile Insurance,” Chinese Journal of Applied Probability and Statistics, Vol. 15, No. 1, 1999, pp. 48-52. [4] X.-D. Hao and J.-M. Yu, “An Empirical Rating Actuarial Model with Claim Size Following Lognormal Distribution in Automobile Insurance,” Journal of Harbin University of Commerce (Natural Sciences Edition), Vol. 24, No. 3, 2008, pp. 382-384. [5] J.-M. Yu and X.-D. Hao, “An Empirical Rating Actuarial Model with Claim Size Following Lognormal Distribution in Automobile Insurance,” Journal of Shanghai Jiaotong University (Science), Vol. 42, No. 11, 2008, pp. 18361838. [6] X.-T. Zhang and H.-F. Chen, “Bayesian Statistical Inference,” Science and Technology Press, 1991. [7] P. Hu and Z.-H. Yuan, “Claimant Number of Times Essence Studies When Risk Is Not Same Quality,” Statistics and Decision, Vol. 11, 2007, pp. 21-22.