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On complete moment convergence for weighted sums of negatively superadditive dependent random variables

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成果类型:
期刊论文
作者:
Huang, Haiwu*;Lu, Xuewen
通讯作者:
Huang, Haiwu
作者机构:
[Huang, Haiwu] Hengyang Normal Univ, Coll Math & Stat, Hengyang 421002, Peoples R China.
[Huang, Haiwu] Hunan Prov Key Lab Intelligent Informat Proc & Ap, Hengyang 421002, Peoples R China.
[Lu, Xuewen] Univ Calgary, Dept Math & Stat, Calgary, AB T2N 1N4, Canada.
通讯机构:
[Huang, Haiwu] H
Hengyang Normal Univ, Coll Math & Stat, Hengyang 421002, Peoples R China.
Hunan Prov Key Lab Intelligent Informat Proc & Ap, Hengyang 421002, Peoples R China.
语种:
英文
关键词:
NSD random variables;complete moment convergence;weighted sum;equivalent conditions
期刊:
Applications of Mathematics
ISSN:
0862-7940
年:
2020
卷:
65
期:
4
页码:
355-377
基金类别:
Science and Technology Plan Project of Hunan Province [2016TP1020]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [18C0660]; National Statistical Science Research Project of China [2018LY05]; State Scholarship Fund of China Scholarship CouncilChina Scholarship Council [201908430242]; Natural Sciences and Engineering Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaCGIAR [RGPIN-2018-06466]
机构署名:
本校为第一且通讯机构
院系归属:
数学与统计学院
摘要:
In this work, the complete moment convergence and complete convergence for weighted sums of negatively superadditive dependent (NSD) random variables are studied, and some equivalent conditions of these strong convergences are established. These main results generalize and improve the corresponding theorems of Baum and Katz (1965) and Chow (1988) to weighted sums of NSD random variables without the assumption of identical distribution. As an application, a Marcinkiewicz-Zygmund-type strong law of large numbers for weighted sums of NSD random variables is...

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