On the strong convergence forweighted sums of negatively superadditive dependent random variables
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Publication:5005474
DOI10.2298/FIL1702295ZzbMath1488.60069OpenAlexW2413970366MaRDI QIDQ5005474
Wenzhi Yang, Lulu Zheng, Xue-jun Wang
Publication date: 10 August 2021
Published in: Filomat (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2298/fil1702295z
Related Items (3)
A note on the weak law of large numbers for weighted negatively superadditive dependent random variables ⋮ The chover-type law of iterated logarithm for the weighted sums of negatively superadditive dependent random variables ⋮ On complete moment convergence for weighted sums of negatively superadditive dependent random variables.
Cites Work
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- On the strong convergence rate for weighted sums of arrays of rowwise negatively orthant dependent random variables
- Strong laws for weighted sums of NA random variables
- On the Kolmogorov inequalities for quadratic forms of dependent uniformly bounded random variables
- On complete convergence of moving average processes for NSD sequences
- A connection between supermodular ordering and positive/negative association.
- Negative association of random variables, with applications
- A strong law for weighted sums of i.i.d. random variables
- Almost sure convergence theorem and strong stability for weighted sums of NSD random variables
- Marcinkiewicz strong laws for linear statistics
- On the strong convergence for weighted sums of negatively associated random variables
- Complete moment convergence for weighted sums of negatively superadditive dependent random variables
- Applications of the Rosenthal-type inequality for negatively superadditive dependent random variables
- Complete convergence for weighted sums of NSD random variables and its application in the EV regression model
- Strong convergence for sequences of asymptotically almost negatively associated random variables
- Complete convergence for arrays of rowwise negatively superadditive-dependent random variables and its applications
- On asymptotic approximation of inverse moments for a class of nonnegative random variables
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