The weak law of large numbers for weighted sums of <i>m</i> -asymptotic negatively associated random variables

In this article, we mainly investigate the Kolmogorov-Feller type weak law of large numbers for weighted sums of m-asymptotic negatively associated (m-ANA, for short) random variables. Some sufficient conditions to prove the Kolmogorov-Feller type weak law of large numbers are provided. The results obtained in this article extend the corresponding ones of Naderi, Boukhari, and Matula (2022) for negatively superadditive dependent (NSD, for short) random variables.

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Journal
Communication in Statistics- Theory and Methods
Published
2024-10-25
DOI
https://doi.org/10.1080/03610926.2024.2409365
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
0.00

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article

The weak law of large numbers for weighted sums of m -asymptotic negatively associated random variables

Mei Yao, Aiting Shen, Yuan Ji
Communication in Statistics- Theory and Methods
Probability and Risk Models
article

The weak law of large numbers for weighted sums of m -asymptotic negatively associated random variables

Mei Yao, Aiting Shen, Yuan Ji
article en

Abstract

In this article, we mainly investigate the Kolmogorov-Feller type weak law of large numbers for weighted sums of m-asymptotic negatively associated (m-ANA, for short) random variables. Some sufficient conditions to prove the Kolmogorov-Feller type weak law of large numbers are provided. The results obtained in this article extend the corresponding ones of Naderi, Boukhari, and Matula (2022) for negatively superadditive dependent (NSD, for short) random variables.

Communication in Statistics- Theory and MethodsVol. 54(13)
Anhui University (CN), Hefei University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Anhui Province
Peace, Justice and strong institutions
Openalex Percentile: Top 77%
Probability and Risk Models
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