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Large deviations for random sums of differences between two sequences of random variables with applications to risk theory

机译:两个随机变量序列之间的差之和的随机和的大偏差,并应用于风险理论

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This paper investigates some precise large deviations for the random sums of the differences between two sequences of independent and identically distributed random variables, where the minuend random variables have subexponential tails, and the subtrahend random variables have finite second moments. As applications to risk theory, the customer-arrival-based insurance risk model is considered, and some uniform asymptotics for the ruin probabilities of an insurance company are derived as the number of customers or the time tends to infinity. MSC:60F10, 62E20, 62P05.
机译:本文研究了独立且均匀分布的两个随机变量序列之间的差之和的精确精确大偏差,其中,最小随机变量具有次指数尾部,而次级随机变量具有有限的第二矩。作为风险理论的应用,考虑了基于客户到达的保险风险模型,并且随着客户数量或时间趋于无穷大,得出了保险公司破产概率的一些统一渐近性。 MSC:60F10、62E20、62P05。

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