期刊文献+

相依保险风险的非参数估计

Non-parameter Estimation Concerning Dependent Insurance Risk
下载PDF
导出
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
  • 相关文献

参考文献3

二级参考文献19

  • 1Billingsley, P., Probability and Measure (3rd Edition), John Wiley and Sons, 1995.
  • 2Doukhan, P., Massart, P. and Rio, E., The functional central limit theorem for strongly mixing processes, Annales de l'Institut Henri Poincare (B) Probability and Statistics, 30(1994), 63-82.
  • 3Kim, T.S. and Baek, J., A central limit theorem for stationary linear processes generated by linearly positively quadrant-dependent process, Statistics ~ Probability Letters, 51(3)(2001), 299-305.
  • 4Kim, T.S. and Ko, M.H., On a functional central limit theorem for stationary linear processes generated by associated processes, Bulletin of the Korean Mathematical Society, 40(4)(2003), 715-722.
  • 5Ko, M.H., Kim, H.C. and Kim, T.S., A central limit theorem for general weighted sums of LPQD random variables and its application, Journal of the Korean Mathematical Society, 43(3)(2006), 529-538.
  • 6Ko, M.H. and Kim, T.S., On a functional central limit theorem for the linear process generated by associated random variables in a Hilbert space, Communications of the Korean Mathematical Society, 23(1)(2008), 133-140.
  • 7Lee, S.Y., Random central limit theorem for the linear process generated by a strong mixing process, Statistics & Probability Letters, 35(2) (1997), 189-196.
  • 8Merlevade, F. and Peligrad, M., The functional central limit theorem under the strong mixing con- dition, The Annals of Probability, 28(3)(2000), 1336-1352.
  • 9Moon, H.J., The functional CLT for linear processes generated by mixing random variables with infinite variance, Statistics & Probability Letters, 78(14)(2008), 2095-2101.
  • 10Haydn, N.T.A., The central limit theorem for uniformly strong mixing measures, arXiv:0903.1325vl, 2009.

共引文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部