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Moments of the Time of Ruin, Surplus Before Ruin and the Deficit at Ruin in the Erlang(N) Risk Process
作者姓名:Yong-sheng  Xing  Rong  Wu
作者单位:[1]Mathematics and Information Science College, Shandong Institute of Business and Technology, Yantai 264005, China [2]School of Mathematics, Nankai University, Tianjin 300071, China
基金项目:Supported by the National Natural Science Foundation of China (No. 10571092).
摘    要:In this paper we consider the "penalty" function in the Erlang(n) risk model. Using the integro- differential equation we established, we obtain the explicit expressions for the moments of Erlang(2) risk model. When the claim size distribution is Light-Tailed and the penalty function is bounded, we obtain the exact representations for the moments of Erlang(n) risk model.

关 键 词:补偿函数  积分-微分方程  光尾分布  精确表征
收稿时间:2003-11-27
修稿时间:2003-11-27

Moments of the Time of Ruin, Surplus Before Ruin and the Deficit at Ruin in the Erlang(N) Risk Process
Yong-sheng Xing Rong Wu.Moments of the Time of Ruin, Surplus Before Ruin and the Deficit at Ruin in the Erlang(N) Risk Process[J].Acta Mathematicae Applicatae Sinica,2006,22(4):599-606.
Authors:Yong-sheng Xing  Rong Wu
Institution:(1) Mathematics and Information Science College, Shandong Institute of Business and Technology, Yantai, 264005, China;(2) School of Mathematics, Nankai University, Tianjin, 300071, China
Abstract:In this paper we consider the"penalty"function in the Erlang(n) risk model.Using the integro- differential equation we established,we obtain the explicit expressions for the moments of Erlang(2) risk model. When the claim size distribution is Light-Tailed and the penalty function is bounded,we obtain the exact representations for the moments of Erlang(n)risk model.
Keywords:Penalty function  Erlang(n)risk model  integro-differential equation  light-tailed distribution
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