Complete Convergence and Complete Moment Convergence for Maximal Weighted Sums of Extended Negatively Dependent Random Variables

被引：2
|
作者：
Ji Gao YAN [1 ,2 ]
机构：
[1] School of Mathematical Sciences,Soochow University
[2] CASE-Center for Applied Statistics and Economics,Humboldt-Universitt zu
来源：
Acta Mathematica Sinica | 2018年 / 34卷 / 10期
关键词：
D O I：
暂无
中图分类号：
O211.5 [随机变量];
学科分类号：
摘要：
In this paper,the complete convergence and complete moment convergence for maximal weighted sums of extended negatively dependent random variables are investigated.Some sufficient conditions for the convergence are provided.In addition,the Marcinkiewicz–Zygmund type strong law of large numbers for weighted sums of extended negatively dependent random variables is obtained.The results obtained in the article extend the corresponding ones for independent random variables and some dependent random variables.
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页码：1501 / 1516
页数：16
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