Equivalent Conditions of Complete Convergence for Weighted Sums of Sequences of Negatively Dependent Random Variables

被引：1
|
作者：
Guo, Mingle [1 ]
机构：
[1] Anhui Normal Univ, Sch Math & Comp Sci, Wuhu 241003, Peoples R China
来源：
ABSTRACT AND APPLIED ANALYSIS | 2012年
基金：
中国国家自然科学基金;
关键词：
SURE CONVERGENCE; LARGE NUMBERS; STRONG LAWS;
D O I：
10.1155/2012/425969
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The complete convergence for weighted sums of sequences of negatively dependent random variables is investigated. By applying moment inequality and truncation methods, the equivalent conditions of complete convergence for weighted sums of sequences of negatively dependent random variables are established. These results not only extend the corresponding results obtained by Li et al. (1995), Gut (1993), and Liang (2000) to sequences of negatively dependent random variables, but also improve them.
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页数：13
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