论次线性期望下 m 个广义可接受随机变量加权和的完全收敛及其统计应用

IF 0.5 4区数学 Q4 STATISTICS & PROBABILITY

Stochastic Models Pub Date : 2024-08-18 DOI:10.1080/15326349.2024.2375201

Xin Deng, Yang Ding, Yi Wu, Xuejun Wang

引用次数: 0

摘要

本文通过罗森塔尔式不等式，研究了在亚线性条件下，m个广泛可选随机变量加权和的完全收敛性和强大数定律。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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On complete convergence for weighted sums of m-widely acceptable random variables under sub-linear expectations and its statistical applications

In this article, by means of Rosenthal-type inequality, we study the complete convergence and strong law of large numbers for weighted sums of m-widely accpetable random variables under sub-linear ...

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来源期刊

Stochastic Models 数学-统计学与概率论

CiteScore

1.30

自引率

14.30%

发文量

审稿时长

>12 weeks

期刊介绍： Stochastic Models publishes papers discussing the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences, social sciences and technology. It presents novel contributions to mathematical theory, using structural, analytical, algorithmic or experimental approaches. In an interdisciplinary context, it discusses practical applications of stochastic models to diverse areas such as biology, computer science, telecommunications modeling, inventories and dams, reliability, storage, queueing theory, mathematical finance and operations research.