Asymptotics for the Tail Probability of Random Sums with a Heavy-Tailed Random Number and Extended Negatively Dependent Summands |
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Authors: | Fengyang CHENG and Na LI |
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Institution: | 1. Department of Mathematics, Soochow University, Suzhou, 215006, Jiangsu, China 2. School of Geosciences, China University of Petroleum (East China), Qingdao, 266580, Shandong, China
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Abstract: | Let {X,X k : k ≥ 1} be a sequence of extended negatively dependent random variables with a common distribution F satisfying EX > 0. Let τ be a nonnegative integer-valued random variable, independent of {X,X k : k ≥ 1}. In this paper, the authors obtain the necessary and sufficient conditions for the random sums $S_\tau = \sum\limits_{n = 1}^\tau {X_n } $ to have a consistently varying tail when the random number τ has a heavier tail than the summands, i.e., $\frac{{P(X > x)}} {{P(\tau > x)}} \to 0 $ as x→∞. |
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Keywords: | Asymptotic behavior Random sums Heavy-Tailed distribution |
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