Complete convergence for randomly weighted sums of random variables and its application in linear-time-invariant systems-Reference-Cited by-同舟云学术

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Complete convergence for randomly weighted sums of random variables and its application in linear-time-invariant systems

Published:2021-01-19 Issue: Volume: Page:1-30
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Lang Junjun¹,He Tianyun¹,Yu Zhiqiang¹,Wu Yi¹,Wang Xuejun¹

Affiliation:

1. School of Mathematical Sciences, Anhui University, Hefei, P.R. China

Funder

National Natural Science Foundation of China

the Natural Science Foundation of Anhui Province

the Provincial Natural Science Research Project of Anhui Colleges

the Students Innovative Training Project of Anhui University

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2020.1870695

Reference34 articles.

1. Some general strong laws for weighted sums of stochastically dominated random variables

2. Strong laws of large numbers for weighted sums of random elements in normed linear spaces

3. Asymptotic ruin probabilities of a two-dimensional renewal risk model with dependent inter-arrival times

4. A Spitzer-type law of large numbers for widely orthant dependent random variables

5. An inequality of widely dependent random variables and its applications*

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The convergence properties for randomly weighted sums of widely negative dependent random variables under sub-linear expectations with related statistical applications;Statistics;2024-09-11

2. Exact Results for the Distribution of Randomly Weighted Sums;Mathematics;2024-01-02

3. The distribution of the sum of two dependent randomly weighted random variables with applications;Communications in Statistics - Theory and Methods;2022-09-21

4. Further Spitzer’s law for widely orthant dependent random variables;Journal of Inequalities and Applications;2021-11-06

5. Strong consistency of LS estimators in simple linear EV regression models with WOD errors;Journal of Mathematical Inequalities;2021

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