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.
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页码：128 / 132
页数：5
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