Strong convergence for weighted sums of arrays of rowwise pairwise NQD random variables

被引：0
|
作者：
Yongfeng Wu
机构：
[1] Tongling University,Department of Mathematics and Computer Science
[2] Soochow University,Center for Financial Engineering and School of Mathematical Sciences
来源：
Collectanea Mathematica | 2014年 / 65卷
关键词：
Complete convergence; Complete moment convergence; Weighted sums; Pairwise negatively quadrant dependent; 60F15;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The author discusses the strong convergence for weighted sums of arrays of rowwise pairwise negatively quadrant dependent random variables and obtains some new results on the complete convergence and the complete moment convergence. These resuts extend and improve the corresponding theorems of Sung (Stat Pap 52:447–454, 2011) and Shen (Rev R Acad Cienc Exactas Fs Nat Ser A Mat (RACSAM), 2012).
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页码：119 / 130
页数：11
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