On the strong convergence and some inequalities for negatively superadditive dependent sequences
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Publication:2250435
DOI10.1186/1029-242X-2013-448zbMath1294.60054WikidataQ59302090 ScholiaQ59302090MaRDI QIDQ2250435
Yan Shen, Shuhe Hu, Xue-jun Wang
Publication date: 7 July 2014
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
strong law of large numberssystem reliabilityintegrability of supremumnegatively superadditive dependent
Related Items (8)
A difference-based approach in the partially linear model with dependent errors ⋮ On the rate of complete convergence for weighted sums of NSD random variables and an application ⋮ Equivalent conditions of the complete convergence for weighted sums of NSD random variables ⋮ On the strong convergence for weighted sums of negatively superadditive dependent random variables ⋮ Complete convergence and complete moment convergence for arrays of rowwise negatively superadditive dependent random variables ⋮ Strong and weak consistency of LS estimators in the EV regression model with negatively superadditive-dependent errors ⋮ Applications of the Rosenthal-type inequality for negatively superadditive dependent random variables ⋮ Least-square estimators in linear regression models under negatively superadditive dependent random observations
Cites Work
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- Some maximal inequalities for quadratic forms of negative superadditive dependence random variables
- The Hájek-Rényi inequality for the NA random variables and its application
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- Negative association of random variables, with applications
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- On the strong convergence for weighted sums of \(\rho ^{*}\)-mixing random variables
- L-superadditive structure functions
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