An exponential inequality for a NOD sequence and a strong law of large numbers

DOI10.1016/j.aml.2010.09.007zbMath1205.60068OpenAlexW2084360616MaRDI QIDQ609992

Shuhe Hu, Aiting Shen, Wenzhi Yang, Xue-jun Wang

Publication date: 1 December 2010

Published in: Applied Mathematics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.aml.2010.09.007

zbMATH Keywords

exponential inequalityconvergence rateNOD random variables

Mathematics Subject Classification ID

Strong limit theorems (60F15)

Related Items

Unnamed Item, Strong convergence results for arrays of rowwise pairwise NQD random variables, Strong law of large numbers and complete convergence for non-identically distributed WOD random variables, The consistency for estimator of nonparametric regression model based on NOD errors, Some probability inequalities for a class of random variables and their applications, Convergence of the tail probability for weighted sums of negatively orthant dependent random variables, On the exponential inequalities for negatively dependent random variables, The strong consistency of the estimator of fixed-design regression model under negatively dependent sequences, Some exponential inequalities for negatively orthant dependent random variables, On complete convergence for widely orthant-dependent random variables and its applications in nonparametric regression models, Complete consistency of the estimator of nonparametric regression model under ND sequence, Convergence properties for weighted sums of NSD random variables, On the exponential inequalities for widely orthant-dependent random variables, On the rate of convergence in the strong law of large numbers for negatively orthant-dependent random variables, Bernstein-type inequality for widely dependent sequence and its application to nonparametric regression models, Unnamed Item

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