摘要
文章研究了在强混合结构下保费与风险载荷的非参数估计问题,得到了基于PH变换及条件尾期望原理的保险风险载荷与保费估计的一致强相合性,以及关于条件尾期望原理保费与风险载荷的一个中心极限定理。通过统计模拟显示相应的估计量具有较好的性质,可以作为保险实践中运用的估价量。
This paper studies the non-parameter estimation of insurance premium and the risk loads under [α-] mixing structure to obtain the strong consistency of insurance risk loads and the premium estimation based on PH-transformation premium and conditional tail expectation principle, and a central limit theorem of insurance premium and risk loads about conditional tail expectation principle. The statistical simulation shows that the corresponding estimator has a good property and can be used as the estimate in insurance practice.
作者
孙荣
Sun Rong(Department of Mathematics and Statistics, Chongqing University of Technology and Business, Chongqing 400067, Chin)
出处
《统计与决策》
CSSCI
北大核心
2018年第10期33-36,共4页
Statistics & Decision
基金
国家统计局全国统计科学研究项目(2016035)
重庆市社会科学规划资助项目(2016YBJJ022)
关键词
非参数估计
强混合结构
PH变换
条件尾期望原理
non-parameter estimation
[α-] mixing structure
PH-transformation premium
tail of condition expect premi-um principle