Complete convergence and complete moment convergence for arrays of rowwise negatively superadditive dependent random variables

被引：12
|
作者：
Meng, Bing [1 ,2 ]
Wang, Dingcheng [1 ]
Wu, Qunying [2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China
[2] Guilin Univ Technol, Coll Sci, Guilin, Guangxi, Peoples R China
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2018年 / 47卷 / 16期
基金：
中国国家自然科学基金;
关键词：
Complete convergence; complete moment convergence; negatively superadditive dependent random variables; WEIGHTED SUMS;
D O I：
10.1080/03610926.2017.1364391
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
In this paper, some complete convergence and complete moment convergence results for arrays of rowwise negatively superadditive dependent (NSD, in short) random variables are studied. The obtained theorems not only extend the result of Gan and Chen (2007) to the case of NSD random variables, but also improve them.
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页码：3910 / 3922
页数：13
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