Limiting behavior for arrays of row-wise upper extended negatively dependent random variables

DOI10.1007/S10474-016-0585-2zbMath1374.60049OpenAlexW2340879197MaRDI QIDQ520009

João Lita da Silva

Publication date: 31 March 2017

Published in: Acta Mathematica Hungarica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10474-016-0585-2

zbMATH Keywords

triangular arraylaw of the logarithmupper extended negatively dependent random variable

Mathematics Subject Classification ID

Strong limit theorems (60F15)

Related Items (9)

Complete moment convergence for double-indexed randomly weighted sums and its applications ⋮ Complete $f$-Moment Convergence for Randomly Weighted Sums of Extended Negatively Dependent Random Variables and Its Statistical Application ⋮ Complete convergence and complete moment convergence for maximal weighted sums of arrays of rowwise extended negatively dependent random variables with statistical applications ⋮ Complete and complete \(f\)-moment convergence for arrays of rowwise END random variables and some applications ⋮ A general result on complete f -moment convergence with its application to nonparametric regression models ⋮ Convergence in \(p\)-mean for arrays of row-wise extended negatively dependent random variables ⋮ Strong laws of large numbers for arrays of row-wise extended negatively dependent random variables with applications ⋮ Complete moment convergence for randomly weighted sums of arrays of rowwise \(m_n\)-extended negatively dependent random variables and its applications ⋮ ℒ_p-convergence for weighted sums of arrays of rowwise extended negatively dependent random variables

Cites Work

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• Complete convergence for arrays
• On the strong law of large numbers and the law of the logarithm for weighted sums of independent random variables with multidimensional indices
• Strong laws of large numbers for arrays of row-wise independent random variables
• The Strong Law of Large Numbers for Extended Negatively Dependent Random Variables
• On the rate of convergence in the strong law of large numbers for arrays
• On strong convergence of arrays
• An analogue of Kolmogorov's law of the iterated logarithm for arrays
• LIMITING BEHAVIOUR FOR ARRAYS OF UPPER EXTENDED NEGATIVELY DEPENDENT RANDOM VARIABLES

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