Strong laws of large numbers for arrays of rowwise -mixing random variables.
Zhu, Meng-Hu (2007)
Discrete Dynamics in Nature and Society
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Displaying similar documents to “Central limit theorem for sampled sums of dependent random variables”
Strong laws of large numbers for arrays of rowwise -mixing random variables.
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Dalibor Volný (1989)
Commentationes Mathematicae Universitatis Carolinae
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On inverse moments for a class of nonnegative random variables.
Sung, Soo Hak (2010)
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Weak laws of large numbers for arrays of rowwise negatively dependent random variables.
Taylor, R.L., Patterson, R.F., Bozorgnia, A. (2001)
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Strong approximation for set-indexed partial sum processes via KMT constructions III
Rio Emmanuel (1997)
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Complete convergence of weighted sums for arrays of rowwise -mixing random variables
Xinghui Wang, Xiaoqin Li, Shuhe Hu (2014)
Applications of Mathematics
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In this paper, we establish the complete convergence and complete moment convergence of weighted sums for arrays of rowwise -mixing random variables, and the Baum-Katz-type result for arrays of rowwise -mixing random variables. As an application, the Marcinkiewicz-Zygmund type strong law of large numbers for sequences of -mixing random variables is obtained. We extend and complement the corresponding results of X. J. Wang, S. H. Hu (2012).