■混合阵列加权和的收敛性质  

Convergence for the weighted sums of ■ mixing random arrays

作　　者：吴永锋[1] 

机构地区：[1]铜陵学院数学与计算机科学系,安徽铜陵244000

出　　处：《西安工程大学学报》2008年第3期358-361,共4页Journal of Xi’an Polytechnic University

基　　金：安徽高校省级自然科研项目(KJ2008B15ZC);安徽省高校青年教师资助计划项目(2008jq1140)

摘　　要：在较宽泛的条件下研究了不同分布■混合阵列行加权和的收敛性质,利用矩不等式和截尾方法,获得了一般双下标加权系数的加权部分和的Lp收敛性和完全收敛性定理,改进了吴群英与王远清(2007)的相应结果.Under very mild conditions, the convergence properties for the weighted sums of ρ mixing random arrays with the different distribution were studied. By using moment inequality and truncated method, the Lp convergence and complete convergence for the general double index weighted partial sums was obtained, which improve the corresponding results of Q. Y. Wu, Y. Q. Wang （2007）.

关 键 词：ρ混合阵列 加权和 一致可积 Lp收敛性 完全收敛性 

分 类 号：O211.4[理学—概率论与数理统计]