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相协随机变量部分和的几乎处处收敛性和强大数定律
引用本文:王学军,胡舒合,马松林. 相协随机变量部分和的几乎处处收敛性和强大数定律[J]. 合肥工业大学学报(自然科学版), 2007, 30(5): 637-640
作者姓名:王学军  胡舒合  马松林
作者单位:安徽大学,数学与计算科学学院,安徽,合肥,230039;安徽大学,数学与计算科学学院,安徽,合肥,230039;安徽大学,数学与计算科学学院,安徽,合肥,230039
摘    要:文章基于相协随机变量序列的Hajek-Renyi不等式和事件序列的Chung-Erdos不等式,利用Krone-cker引理和Borel-Cantelli引理,给出相协随机变量序列部分和的几乎处处收敛性和强大数定律型的结果,推广和改进了吴爱娟论文中定理2和定理3的结果。作为其特例,得到了独立情形下经典的Kolmogorov强大数定律。

关 键 词:Hajek-Renyi不等式  相协随机变量序列  几乎处处收敛  强大数定律
文章编号:1003-5060(2007)05-0637-04
修稿时间:2006-04-19

Almost sure convergence and a strong law of large numbers for the partial sum of associated random variable sequences
WANG Xue-jun,HU Shu-he,MA Song-lin. Almost sure convergence and a strong law of large numbers for the partial sum of associated random variable sequences[J]. Journal of Hefei University of Technology(Natural Science), 2007, 30(5): 637-640
Authors:WANG Xue-jun  HU Shu-he  MA Song-lin
Abstract:This paper presents some almost sure convergence properties and a strong law of large numbers for the partial sum of associated random variable sequences based on the Hajek-Renyi inequality for associated random variables and the Chung-Erdos inequality for event sequences using the Kronecker lemma and the Borel-Cantelli lemma,which generalize and improve the result in related literature.As a special case,the classical Kolmogorov strong law of large numbers for independent random variables is given.
Keywords:Hajek-Renyi inequality  associated random variable sequence  almost sure convergence  strong law of large numbers
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