Asymptotics of random sums of negatively dependent random variables in the presence of dominatedly varying tails

被引:5
|
作者
Yang, Yang [1 ,2 ]
Leipus, Remigijus [3 ,4 ]
Siaulys, Jonas [3 ]
机构
[1] Southeast Univ, Dept Math, Nanjing 210096, Jiangsu, Peoples R China
[2] Nanjing Audit Univ, Sch Math & Stat, Nanjing 210029, Jiangsu, Peoples R China
[3] Vilnius Univ, Fac Math & Informat, LT-03225 Vilnius, Lithuania
[4] Vilnius Univ, Inst Math & Informat, LT-08663 Vilnius, Lithuania
基金
美国国家科学基金会; 中国博士后科学基金;
关键词
negative dependence; dominated variation; random sums; dependent compound renewal risk model; PRECISE LARGE DEVIATIONS; HEAVY TAILS; DISTRIBUTIONS; BEHAVIOR;
D O I
10.1007/s10986-012-9169-1
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Let (1) (2) be a sequence of negatively dependent and identically distributed random variables, and let be a counting random variable independent of 's. In this paper, we study the asymptotics for the tail probability of the random sum S-N = Sigma(N)(k=1) in the presence of heavy tails. We consider the following three cases: (i) () = (( (1) )), and the distribution function (d.f.) of (1) is dominatedly varying; (ii) ( (1) ) = (()), and the d.f. of is dominatedly varying; (iii) the tails of (1) and are asymptotically comparable and dominatedly varying.
引用
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页码:222 / 232
页数:11
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