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Strong law of large numbers and growth rate for a class of random variable sequences

机译:一类随机变量序列的强大数定律和增长率

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Fazekas and Klesov[Fazekas.I.,Klesov,O.,2000.A general approach to the strong law of large numbers.Theory of Probability and its Applications 45,436-449]established a Hajek-Renyi-type maximal inequality and obtained a strong law of large numbers(SLLN)for the sums of random variables.Hu and Hu[Hu Shuhe,Hu Ming,2006.A general approach rate to the strong law of large numbers.Statistics and Probability Letters 76,843-851] obtained the SLLN and the growth rate for a sequence of random variables by using the Hajek-Renyi-type maximal inequality.This paper obtains some new results of the SLLN and growth rate for strongly positive dependent stochastic sequences,PA sequences,(rho)over bar-mixing sequences,(phi)over bar-mixing sequences and pairwise negatively quadrant dependent sequences
机译:Fazekas和Klesov [Fazekas.I。,Klesov,O.,2000。大数定律的一般方法。概率论及其应用45,436-449]建立了Hajek-Renyi型最大不等式并获得了强不等式。 Hu和Hu [Hu Shuhe,Hu Ming,2006。大数强定律的一般逼近率。统计和概率字母76,843-851]获得了SLLN和通过使用Hajek-Renyi型最大不等式来确定随机变量序列的增长率。本文获得了一些新的结果,说明了强正相关的随机序列,PA序列,rho-bar混合序列的SLLN和增长率,在条混合序列和成对的负象限相关序列上

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