On the strong laws for weighted sums of -mixing random variables.
Zhou, Xing-Cai, Tan, Chang-Chun, Lin, Jin-Guan (2011)
Journal of Inequalities and Applications [electronic only]
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Displaying similar documents to “On complete convergence for arrays of rowwise -mixing random variables and its applications.”
On the strong laws for weighted sums of -mixing random variables.
On complete convergence for weighted sums of -mixing random variables.
Xuejun, Wang, Shuhe, Hu, Wenzhi, Yang, Yan, Shen (2010)
Journal of Inequalities and Applications [electronic only]
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Moment inequalities and complete moment convergence.
Sung, Soo Hak (2009)
Journal of Inequalities and Applications [electronic only]
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Moment inequality for -mixing sequences and its applications.
Xuejun, Wang, Shuhe, Hu, Yan, Shen, Wenzhi, Yang (2009)
Journal of Inequalities and Applications [electronic only]
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Complete convergence for negatively dependent random variables.
Amini, D. M., Bozorgnia, A. (2003)
Journal of Applied Mathematics and Stochastic Analysis
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On the weak law of large numbers for normed weighted sums of i.i.d. random variables.
Adler, André, Rosalsky, Andrew (1991)
International Journal of Mathematics and Mathematical Sciences
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A log-scale limit theorem for one-dimensional random walks in random environments.
Roitershtein, Alexander (2005)
Electronic Communications in Probability [electronic only]
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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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Complete convergence for weighted sums of -mixing random variables.
Sung, Soo Hak (2010)
Discrete Dynamics in Nature and Society
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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).
On the nonexistence of a law of the iterated logarithm for weighted sums of identically distributed random variables.
Adler, André (1990)
Journal of Applied Mathematics and Stochastic Analysis
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