Some mean convergence theorems for arrays of rowwise pairwise negative quadrant dependent random variables

Some mean convergence theorems for arrays of rowwise pairwise negative quadrant dependent random variables

Abstract For arrays of rowwise pairwise negative quadrant dependent random variables, conditions are provided under which weighted averages converge in mean to 0 thereby extending a result of Chandra, and conditions are also provided under which normed and centered row sums converge in mean to 0. Th...

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Bibliographic Details
Main Authors: Tapas K. Chandra, Deli Li, Andrew Rosalsky
Format: Article
Language:English
Published: SpringerOpen 2018-08-01
Series:Journal of Inequalities and Applications
Subjects:
Array of rowwise pairwise negative quadrant dependent random variables
Pairwise independent random variables
Weighted averages
Degenerate mean convergence
Stochastic domination
Almost sure convergence
Online Access:http://link.springer.com/article/10.1186/s13660-018-1811-y

Internet

http://link.springer.com/article/10.1186/s13660-018-1811-y

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