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On Complete Convergence of Weighted Sums for Arrays of Rowwise Negatively Dependent Random Variables

机译:行负相关随机变量数组加权和的完全收敛性

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摘要

In this paper, some sufficient conditions of complete convergence of weighted sums for arrays of rowwise negatively dependent (ND for short) random variables are presented without the assumption of identical distribution. These results partly generalize the corresponding ones for independent random variables and negatively associated (NA for short) random variables. As an application,the Marcinkiewicz-Zygmund-type strong law of large numbers for weighted sums of negatively dependent random variables is obtained.
机译:在本文中,给出了在没有相同分布假设的情况下,行负相关(简称ND)随机变量数组加权和完全收敛的一些充分条件。这些结果部分概括了独立随机变量和负相关(简称NA)随机变量的对应变量。作为应用,获得了负相关随机变量的加权和的大数Marcinkiewicz-Zygmund型强定律。

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