LIMITING BEHAVIOUR FOR ARRAYS OF UPPER EXTENDED NEGATIVELY DEPENDENT RANDOM VARIABLES

DOI10.1017/S0004972715000374zbMath1323.60051OpenAlexW2124650447MaRDI QIDQ5501760

João Lita da Silva

Publication date: 14 August 2015

Published in: Bulletin of the Australian Mathematical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1017/s0004972715000374

zbMATH Keywords

Bernstein inequalitylaw of the logarithmupper extended negatively dependent arraysweakly mean dependent arrays

Mathematics Subject Classification ID

Strong limit theorems (60F15)

Related Items (4)

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 ⋮ Limiting behavior for arrays of row-wise upper extended negatively dependent random variables ⋮ ℒ_p-convergence for weighted sums of arrays of rowwise extended negatively dependent random variables

Cites Work

• Unnamed Item
• 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

This page was built for publication: LIMITING BEHAVIOUR FOR ARRAYS OF UPPER EXTENDED NEGATIVELY DEPENDENT RANDOM VARIABLES