Generalization of strong law of large numbers for nonnegative random variables

被引：0

作者：

Ghazani, Z. Shokooh ^{[1
]}

机构：

[1] Islamic Azad Univ, Cent Tehran Branch, Dept Math, Tehran, Iran

来源：

INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS | 2018年 / 57卷 / 05期

关键词：

Strong law of large numbers; Convergence rate;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, the convergence rate in the strong law of large numbers is presented for a sequence of nonnegative random variables with bounded q-th (q >= 1) moments. This result imply an extension version of Kolmogorov's classical strong law to the nonnegative case.

引用

页码：128 / 132

页数：5

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