Complete moment convergence and mean convergence for arrays of rowwise extended negatively dependent random variables

DOI10.1155/2014/478612zbMath1328.60089OpenAlexW2031179771WikidataQ51098616 ScholiaQ51098616MaRDI QIDQ904609

Chunhua Wang, Mingzhu Song, Yong-Feng Wu

Publication date: 13 January 2016

Published in: The Scientific World Journal. Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/478612

Mathematics Subject Classification ID

Strong limit theorems (60F15) Limit theorems for vector-valued random variables (infinite-dimensional case) (60B12)

Related Items (11)

Complete convergence and complete moment convergence for maximal weighted sums of extended negatively dependent random variables ⋮ The Kolmogrov–Feller type weak law of large numbers for APND random variables ⋮ On Complete Convergence in Marcinkiewicz-Zygmund Type SLLN for END Random Variables and Its Applications ⋮ Complete moment convergence for randomly weighted sums of END sequences and its applications ⋮ General theorems on exponential and Rosenthal's inequalities and on complete convergence ⋮ Unnamed Item ⋮ Convergence in \(p\)-mean for arrays of row-wise extended negatively dependent random variables ⋮ Almost sure convergence for weighted sums of WNOD random variables and its applications to non parametric regression models ⋮ On complete convergence in Marcinkiewicz-Zygmund type SLLN for random variables ⋮ On the convergence of series of moments for row sums of random variables ⋮ Equivalent conditions of complete moment convergence for extended negatively dependent random variables

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