Weak laws of large numbers for arrays of rowwise negatively dependent random variables

DOI10.1155/S1048953301000181zbMath0984.60015MaRDI QIDQ5952365

Robert Lee Taylor, Ronald Frank Patterson, Abolghassem Bozorgnia

Publication date: 5 May 2002

Published in: Journal of Applied Mathematics and Stochastic Analysis (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/49165

zbMATH Keywords

arraysnegative dependentweak law of large numbers

Mathematics Subject Classification ID

Limit theorems for vector-valued random variables (infinite-dimensional case) (60B12)

Related Items (6)

Complete moment convergence of weighted sums for arrays of negatively dependent random variables and its applications ⋮ Cesàro \(\alpha\)-integrability and laws of large numbers. II ⋮ Equivalent conditions of complete convergence for weighted sums of sequences of negatively dependent random variables ⋮ Complete convergence for moving average processes associated to heavy-tailed distributions and applications ⋮ Convergence properties of partial sums for arrays of rowwise negatively orthant dependent random variables ⋮ On the convergence rate for arrays of row-wise NOD random variables

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