A note on the strong limit theorem for weighted sums of sequences of negatively dependent random variables

DOI10.1186/1029-242X-2012-233zbMath1280.60022WikidataQ59291132 ScholiaQ59291132MaRDI QIDQ385845

Haiwu Huang, Ding Cheng Wang

Publication date: 11 December 2013

Published in: Journal of Inequalities and Applications (Search for Journal in Brave)

zbMATH Keywords

complete convergenceweighted sumsnegatively dependent random variables

Mathematics Subject Classification ID

Strong limit theorems (60F15)

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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