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Sufficient and necessary conditions of complete convergence for asymptotically negatively associated random variables

机译:渐近负相关随机变量完全收敛的充分必要条件

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In this investigation, some sufficient and necessary conditions of the complete convergence for weighted sums of asymptotically negatively associated (ANA, in short) random variables are presented without the assumption of identical distribution. As an application of the main results, the Marcinkiewicza??Zygmund type strong law of large numbers based on weighted sums of ANA cases is obtained. The results of this paper extend and generalize some well-known corresponding ones.
机译:在这项研究中,给出了渐近负相关(ANA,简称)随机变量的加权和的完全收敛的一些充要条件,而没有假设相同的分布。作为主要结果的应用,基于ANA案例的加权和,获得了Marcinkiewicza ?? Zygmund型强数定律。本文的结果扩展并归纳了一些众所周知的对应结果。

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