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Chinese Academy of Sciences Institutional Repositories Grid
Precise large deviations for sums of random variables with consistently varying tails

文献类型:期刊论文

作者Ng, KW; Tang, QH; Yan, JA; Yang, HL
刊名JOURNAL OF APPLIED PROBABILITY
出版日期2004-03-01
卷号41期号:1页码:93-107
关键词consistently varying tail doubly stochastic process heavy tail Matuszewska index negative association precise large deviations random sums
ISSN号0021-9002
英文摘要Let {X-k, k greater than or equal to 1} be a sequence of independent, identically distributed nonnegative random variables with common distribution function F and finite expectation mu > 0. Under the assumption that the tail probability (F) over bar (x) = 1 - F(x) is consistently varying as x tends to infinity, this paper investigates precise large deviations for both the partial sums S, and the random sums S-N(t), where N((.)) is a counting process independent of the sequence {X-k, k greater than or equal to 1}. The obtained results improve some related classical ones. Applications to a risk model with negatively associated claim occurrences and to a risk model with a doubly stochastic arrival process (extended Cox process) are proposed.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000220186000007
出版者APPLIED PROBABILITY TRUST
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/19681]  
专题应用数学研究所
通讯作者Ng, KW
作者单位1.Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China
2.Univ Amsterdam, Dept Quantitat Econ, NL-1018 WB Amsterdam, Netherlands
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Ng, KW,Tang, QH,Yan, JA,et al. Precise large deviations for sums of random variables with consistently varying tails[J]. JOURNAL OF APPLIED PROBABILITY,2004,41(1):93-107.
APA Ng, KW,Tang, QH,Yan, JA,&Yang, HL.(2004).Precise large deviations for sums of random variables with consistently varying tails.JOURNAL OF APPLIED PROBABILITY,41(1),93-107.
MLA Ng, KW,et al."Precise large deviations for sums of random variables with consistently varying tails".JOURNAL OF APPLIED PROBABILITY 41.1(2004):93-107.

入库方式: OAI收割

来源:数学与系统科学研究院

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