Complete convergence for weighted sums of LNQD random variables

Pub Date : 2015-01-02 DOI:10.1080/17442508.2014.931959
A. Shen, H. Zhu, R. Wu, Y. Zhang
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引用次数: 7

Abstract

In this paper, we study the complete convergence for weighted sums of linearly negative quadrant dependent (LNQD) random variables based on the exponential bounds. In addition, we present some complete convergence for arrays of rowwise LNQD random variables.
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LNQD随机变量加权和的完全收敛性
本文研究了基于指数界的线性负象限相关随机变量加权和的完全收敛性。此外,我们给出了列LNQD随机变量数组的一些完全收敛性。
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