ASYMPTOTIC BOUNDS FOR PRECISE LARGE DEVIATIONS IN A COMPOUND RISK MODEL UNDER DEPENDENCE STRUCTURES

被引:5
|
作者
Gao, QingWu [1 ]
Liu, Xijun [2 ]
Chai, Chunhong [2 ]
机构
[1] Nanjing Audit Univ, Sch Stat & Math, Nanjing, Peoples R China
[2] Air Force Engn Univ, Aviat Maintenance NCO Acad, Xinyang, Peoples R China
来源
JOURNAL OF MATHEMATICAL INEQUALITIES | 2020年 / 14卷 / 04期
基金
中国国家自然科学基金;
关键词
Asymptotics; precise large deviation; compound riskmodel; dependence structure; STOCHASTIC PRESENT VALUE; TAILED RANDOM SUMS; RANDOM-VARIABLES; AGGREGATE CLAIMS; CONVERGENCE; INSURANCE;
D O I
10.7153/jmi-2020-14-69
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In the paper, we consider a compound risk model, where all the claim sizes satisfy a dependence structure, and the accident inter-arrival time and the claim-number of the subsequent accident satisfy another dependence structure described by a conditional tail probability of the inter-arrival time given the subsequent claim-number. We obtain the asymptotic lower and upper bounds for the precise large deviations of the aggregate claims, with a feature that the asymptotic bounds hold uniformly for all x in an infinite t -interval.
引用
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页码:1067 / 1082
页数:16
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