Complete convergence of weighted sums for arrays of rowwise $\varphi $-mixing random variables

In this paper, the strong law of large numbers for weighted sums of negatively superadditive dependent (NSD, in short) random variables is obtained, which generalizes and improves the corresponding one of Bai and Cheng ([2]) for independent and identically distributed random variables to the case of NSD random variables.

Moment inequalities and complete moment convergence.

Sung, Soo Hak (2009)

Journal of Inequalities and Applications [electronic only]

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Random sum Limit Theorems for Nonidentically Distributed Random Variables

Slobodanka Janković (1990)

Publications de l'Institut Mathématique

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Convergence of weighted sums of independent random variables and an extension to Banach space-valued random variables.

Padgett, W.J., Taylor, R.L. (1979)

International Journal of Mathematics and Mathematical Sciences

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Uniform integrability and convergence in the pth-mean of randomly weighted sums

M. Ordóñez Cabrera (1989)

Extracta Mathematicae

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Displaying similar documents to “Complete convergence of weighted sums for arrays of rowwise ϕ -mixing random variables”

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