ON THE COMPLETE CONVERGENCE FOR WEIGHTED SUMS OF NEGATIVELY SUPERADDITIVE DEPENDENT RANDOM VARIABLES

被引：0

作者：

Seo, Hye-Young ^{[1
,2
]}

Shii, Da-Li ^{[3
]}

Baek, Jong-Il ^{[1
,2
]}

机构：

[1] Wonkwang Univ, Sch Big Data & Financiall Stat, Iksan 570749, South Korea

[2] Wonkwang Univ, Inst Basic Nat Sci, Iksan 570749, South Korea

[3] Wonkwang Univ, Grad Sch, Iksan 570749, South Korea

来源：

JOURNAL OF APPLIED MATHEMATICS & INFORMATICS | 2019年 / 37卷 / 3-4期

关键词：

Negatively superadditive dependence; Stochastic domination; Complete convergence; Negatively associated random variables;

D O I：

10.14317/jami.2019.207

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We are presented of several basic properties for negatively superadditive dependent(NSD) random variables. By using this concept we are obtained complete convergence for maximum partial sums of rowwise NSD random variables. These results obtained in this paper generalize a corresponding ones for independent random variables and negatively associated random variables.

引用

页码：207 / 217

页数：11

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