杨洋,林金官,王定成.宽象限相依随机变量部分和的中偏差及其在 保险中的应用*[J].数学年刊A辑,2015,36(4):375~388
宽象限相依随机变量部分和的中偏差及其在 保险中的应用*
Moderate Deviations for the Partial Sum of WidelyOrthant Dependent Random Variables andTheir Applications in Insurance
  
DOI:
中文关键词:  中偏差, 宽象限相依, 控制变换, 基于顾客到达过程的保险风险模型, 复合更新风险模
英文关键词:Moderate deviations,Widely orthant dependence, Dominated vari- ation, Customer-arrival-based insurance risk model, Compound re- newal risk model
基金项目:本文受到国家自然科学基金 (No.71471090, No.71271042), 教育部人文社会科学研究青年基金 (No.14 YJCZH182), 中国博士后科学基金 (No.2014T70449, No.2012M520964), 江苏省自然科学基金 (No.BK 20131339), 江苏省高校自然科学基金重大项目(No.15KJA110001), 江苏省青蓝工程, 江苏省高校优秀科技创新团队项目, 江苏高校优势学科建设工程, 江苏省高校金融工程重点实验室和江苏省十二五重点建设学科 (统计学) 项目的资助.
Author NameAffiliationE-mail
YANG Yang Corresponding author. The Key Lab of Financial Engineering of Jiangsu Province, Nanjing Audit University, Nanjing 211815, China
School of Eco- nomics and Management, Southeast University, Nanjing 210096, China. 
yyang@nau.edu.cn; yyangmath@gmail.com 
LIN Jinguan Department of Mathematics, Southeast University, Nanjing 210096, China. jglin@seu.edu.cn 
WANG Dingcheng The Key Lab of Financial Engineering of Jiangsu Province, Nanjing Audit University, Nanjing 211815, China. wangdc@nau.edu.cn 
Hits: 864
Download times: 815
中文摘要:
      研究了控制变换尾分布的宽象限相依实值随机变量部分和的中偏差. 相应于所得到的理论结果, 进一步给出了在相依保险风险模型中的两个应用: 一是在基于顾客到达过程的保险风险模型中, 保险公司盈余的渐近估计; 二是在复合更新风险模型中, 有限时和无限时破产概率的一致渐近估计.
英文摘要:
      This paper deals with the moderate deviations for the partial sum of widely orthant dependent real-valued random variables with dominatedly varying tails. As an illustration of the obtained results the authors give two applications related to some de- pendent insurance risk models: The surplus of an insurance company is estimated in the customer-arrival-based insurance risk model; and the uniform asymptotics for the finite-time and infinite-time ruin probabilities are derived in the compound renewal risk model.
View Full Text  View/Add Comment  Download reader
Close

Organizer:The Ministry of Education of China Sponsor:Fudan University Address:220 Handan Road, Fudan University, Shanghai, China E-mail:edcam@fudan.edu.cn
Designed by Beijing E-Tiller Co.,Ltd.