A note on the strong limit theorem for weighted sums of sequences of negatively dependent random variables
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Publication:385845
DOI10.1186/1029-242X-2012-233zbMath1280.60022WikidataQ59291132 ScholiaQ59291132MaRDI QIDQ385845
Publication date: 11 December 2013
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
Related Items (6)
Strong convergence for weighted sums of END random variables under the sub-linear expectations ⋮ Further study on complete convergence for weighted sums of arrays of rowwise asymptotically almost negatively associated random variables ⋮ Convergence of the tail probability for weighted sums of negatively orthant dependent random variables ⋮ Complete convergence and strong laws of large numbers for weighted sums of negatively orthant dependent random variables ⋮ On the strong convergence for weighted sums of negatively associated random variables ⋮ A note on the rate of strong convergence for weighted sums of arrays of rowwise negatively orthant dependent random variables
Cites Work
- Strong laws for weighted sums of NA random variables
- On the strong convergence for weighted sums of random variables
- Complete convergence for negatively dependent random variables
- Negative association of random variables, with applications
- Marcinkiewicz strong laws for linear statistics
- Some strong limit theorems of weighted sums for negatively dependent generalized Gaussian random variables
- On Some Conditions for Complete Convergence for Arrays of Rowwise Negatively Dependent Random Variables
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