期刊文献+

古典风险模型的极值联合分布 被引量:9

Union-Distributions of Extreme Value on Classical Risk Model
下载PDF
导出
摘要 该文讨论并获得了用不破产概率函数有限表达的古典风险模型在破产前 。 In this paper, the formula of the joint distributions of the maximum and the minimum of the surpluses before ruin, first recovered from negative to zero, and last recovered from negative are discussed for the classical risk model and expressed by somenon ruin probability function.
作者 张春生 吴荣
出处 《数学物理学报(A辑)》 CSCD 北大核心 2003年第1期25-30,共6页 Acta Mathematica Scientia
基金 国家自然科学基金资助项目 (1 9971 0 47) 国家教委博士点基金项目
关键词 古典风险模型 极值联合分布 强马尔可夫性 破产时间 Classical risk model Strong Markovian property Ruin time The time first to zero surpluses The time last recovered to zero surpluses.
  • 相关文献

同被引文献41

  • 1高合理,尹传存.复合Poisson模型中“双界限”分红问题[J].高校应用数学学报(A辑),2008,23(4):379-388. 被引量:1
  • 2林庆敏,汪荣明.带息力的更新风险模型下的破产概率的计算[J].华东师范大学学报(自然科学版),2005(1):46-52. 被引量:12
  • 3Grandell J. A spects of Risk Theory[M]. New York NC: Spring-Verlag, 1991.
  • 4[1]Bowers N L,Gerber H U,Hickman J C,et al.Actuarial Mathematics[M].Iuinois:Society of Actuaries,1986.
  • 5[3]Cai J.Ruin probabilities with dependent rates of interest[J].J Appl.Prob,2002,39:312-323.
  • 6[2]Reinhard.On a class of semi.Markov risk models obtained as classical risk models in a Markovian environment[J].Austin Bulletin,1984,14:23-43.
  • 7[3]Asmussen S,Frey A,Rolski T,et al.Does Markov-modulation increase the risk?[J].Austin Bulletin,1995,25(1):49-66.
  • 8[4]BSuerle N.Some results about the expected ruin time in Markov-modulated risk models[J].Insurance:Mathematics and Economics,1996,18:119-127.
  • 9[5]Snoussi M.The severity of ruin in Markov-modulated risk models[A].Proceedings of the 2nd International Symposium on Semi-Markov Models:Theory and Applications[C].Université de Technologie de Compiègne,1998.
  • 10Francois Dufresne, Hans U Gerber. Risk theory for the compound Poisson process that is perturbed by diffusion [ J ]. Insurance: MathEcon, 1991, 10:51 ~ 59.

引证文献9

二级引证文献11

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