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复合马尔可夫二项模型的Gerber-Shiu折现罚金函数(英文)
The Gerber-Shiu Discounted Penalty Function in the Compound Markov Binomial Model
【摘要】 本文研究复合马尔可夫二项模型的Gerber-Shiu折现罚金函数,得到了有条件和无条件的Gerber-Shiu折现罚金函数所满足的瑕疵更新方程.然后给出这些折现罚金函数的渐近表达式.
【Abstract】 In this paper,we consider the compound Markov binomial model proposed by Cossette et al.(2003).The defective renewal equations for the conditional and unconditional Gerber-Shiu discounted penalty function are obtained.The asymptotic expressions for the Gerber-Shiu discounted penalty function are then provided.
【关键词】 复合马尔可夫二项模型;
相关性;
Gerber-Shiu折现罚金函数;
渐近表达式;
破产概率;
【Key words】 Compound Markov binomial model; dependence; Gerber-Shiu discounted penalty function; asymptotic expression; ruin probability;
【Key words】 Compound Markov binomial model; dependence; Gerber-Shiu discounted penalty function; asymptotic expression; ruin probability;
【基金】 supported by SF of Guangxi University(X071085)
- 【文献出处】 应用概率统计 ,Chinese Journal of Applied Probability and Statistics , 编辑部邮箱 ,2011年05期
- 【分类号】O211.62
- 【被引频次】5
- 【下载频次】90