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$rho^*$-混合随机变量列加权和的完全收敛性
引用本文:郭明乐,祝东进. $rho^*$-混合随机变量列加权和的完全收敛性[J]. 数学研究及应用, 2013, 33(4): 483-492
作者姓名:郭明乐  祝东进
作者单位:安徽师范大学数学计算机科学学院, 安徽 芜湖 241003;安徽师范大学数学计算机科学学院, 安徽 芜湖 241003
基金项目:国家自然科学基金(Grant Nos.11271020; 11201004),教育部科学技术研究重点项目(Grant No.211077), 安徽省自然科学基金 (Grant Nos.10040606Q30; 1208085MA11).
摘    要:In this paper, the complete convergence of weighted sums for ρ*-mixing sequence of random variables is investigated. By applying moment inequality and truncation methods, the equivalent conditions of complete convergence of weighted sums for ρ*-mixing sequence of random variables are established. We not only promote and improve the results of Li et al. (J. Theoret. Probab., 1995, 8(1): 49-76) from i.i.d. to ρ*-mixing setting but also obtain their necessities and relax their conditions.

关 键 词:ρ*-mixing sequence of random variables  weighted sums  complete convergence  moment inequality.
收稿时间:2012-05-06
修稿时间:2012-09-03

Complete Convergence of Weighted Sums for $rho^*$-Mixing Sequence of Random Variables
Mingle GUO and Dongjin ZHU. Complete Convergence of Weighted Sums for $rho^*$-Mixing Sequence of Random Variables[J]. Journal of Mathematical Research with Applications, 2013, 33(4): 483-492
Authors:Mingle GUO and Dongjin ZHU
Affiliation:School of Mathematics and Computer Science, Anhui Normal University, Anhui 241003, P. R. China;School of Mathematics and Computer Science, Anhui Normal University, Anhui 241003, P. R. China
Abstract:In this paper, the complete convergence of weighted sums for $rho^*$-mixing sequence of random variables is investigated. By applying moment inequality and truncation methods, the equivalent conditions of complete convergence of weighted sums for $rho^*$-mixing sequence of random variables are established. We not only promote and improve the results of Li et al. (J. Theoret. Probab., 1995, {bf 8}(1): 49--76) from i.i.d. to $rho^*$-mixing setting but also obtain their necessities and relax their conditions.
Keywords:$rho^*$-mixing sequence of random variables   weighted sums   complete convergence   moment inequality.
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