EUDML | Chover-type laws of the iterated logarithm for weighted sums of -mixing sequences.

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Displaying similar documents to “Chover-type laws of the iterated logarithm for weighted sums of $ρ^{*}$ -mixing sequences.”

Chover-type laws of the iterated logarithm for weighted sums of NA sequences

Guang-hui Cai (2007)

Mathematica Bohemica

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To derive a Baum-Katz type result, a Chover-type law of the iterated logarithm is established for weighted sums of negatively associated (NA) and identically distributed random variables with a distribution in the domain of a stable law in this paper.

Strong law of large numbers for $ρ^{*}$ -mixing sequences with different distributions.

Cai, Guang-Hui (2006)

Discrete Dynamics in Nature and Society

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On the strong laws for weighted sums of $ρ^{*}$ -mixing random variables.

Zhou, Xing-Cai, Tan, Chang-Chun, Lin, Jin-Guan (2011)

Journal of Inequalities and Applications [electronic only]

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Strong laws of large numbers for arrays of rowwise $ρ^{*}$ -mixing random variables.

Zhu, Meng-Hu (2007)

Discrete Dynamics in Nature and Society

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When does a randomly weighted self-normalized sum converge in distribution?

Mason, David M., Zinn, Joel (2005)

Electronic Communications in Probability [electronic only]

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Complete convergence for weighted sums of $ρ *$ -mixing random variables.

Sung, Soo Hak (2010)

Discrete Dynamics in Nature and Society

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On complete convergence for weighted sums of $ϕ$ -mixing random variables.

Xuejun, Wang, Shuhe, Hu, Wenzhi, Yang, Yan, Shen (2010)

Journal of Inequalities and Applications [electronic only]

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Some strong limit theorems for weighted product sums of $\tilde{ρ}$ -mixing sequences of random variables.

Wu, Qunying, Jiang, Yuanying (2009)

Journal of Inequalities and Applications [electronic only]

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On complete convergence for arrays of rowwise $ρ$ -mixing random variables and its applications.

Zhou, Xing-Cai, Lin, Jin-Guan (2010)

Journal of Inequalities and Applications [electronic only]

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Complete convergence for weighted sums of sequences of negatively dependent random variables.

Wu, Qunying (2011)

Journal of Probability and Statistics

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