行扩展负相关随机变量数组加权和的完全收敛和完全矩收敛定理

IF 0.6 4区 数学 Q3 MATHEMATICS Bulletin of the Korean Mathematical Society Pub Date : 2019-01-01 DOI:10.4134/BKMS.B180791
Haiwu Huang, QingXia Zhang
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引用次数: 0

摘要

本文研究了行扩展负相关随机变量数组的完全收敛性和完全矩收敛性。建立了END情况下加权和的强收敛性的一些尖锐定理。这些主要结果不仅对Cai[2]、Wang et al.[17]和Shen[14]的已知对应结果进行了推广,而且对其进行了改进。
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COMPLETE CONVERGENCE AND COMPLETE MOMENT CONVERGENCE THEOREMS FOR WEIGHTED SUMS OF ARRAYS OF ROWWISE EXTENDED NEGATIVELY DEPENDENT RANDOM VARIABLES
In the present work, the complete convergence and complete moment convergence properties for arrays of rowwise extended negatively dependent (END) random variables are investigated. Some sharp theorems on these strong convergence for weighted sums of END cases are established. These main results not only generalize the known corresponding ones of Cai [2], Wang et al. [17] and Shen [14], but also improve them, respectively.
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来源期刊
CiteScore
0.80
自引率
20.00%
发文量
0
审稿时长
6 months
期刊介绍: This journal endeavors to publish significant research of broad interests in pure and applied mathematics. One volume is published each year, and each volume consists of six issues (January, March, May, July, September, November).
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