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Equivalent Conditions of Complete Moment Convergence ofWeighted Sums for phi- Mixing Sequence of Random Variables

机译:随机变量的phi-混合序列加权和的完全矩收敛的等价条件

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摘要

In this article, the complete moment convergence of weighted sums for phi-mixing sequence of random variables is investigated. By applying moment inequality and truncation methods, the equivalent conditions of complete moment convergence of weighted sums for phi-mixing sequence of random variables are established. These results promote and improve the corresponding results obtained by Li etal. (1995) and Gut (1993) from i.i.d. to phi-mixing setting. Moreover, we obtain the complete moment convergence of moving average processes based on phi-mixing random variables, which extends the result of Kim etal. (2008) in the sense that it does not require a specific mixing rate.
机译:在本文中,研究了随机变量的phi混合序列的加权和的完全矩收敛性。通过应用矩不等式和截断方法,建立了随机变量的phi混合序列加权和的完全矩收敛的等价条件。这些结果促进和改进了Li等人获得的相应结果。 (1995)和Gut(1993)来自i.i.d.到phi混合设置。此外,我们基于phi混合随机变量获得了移动平均过程的完整矩收敛性,扩展了Kim等人的结果。 (2008)的意义是它不需要特定的混合速率。

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