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Link to original content: https://doi.org/10.14736/kyb-2016-1-0052
Kybernetika - Article detail

Kybernetika 52 no. 1, 52-65, 2016

Strong Convergence for weighed sums of negatively superadditive dependent random variables

Zhiyong Chen, Haibin Wang, Xuejun Wang and Shuhe HuDOI: 10.14736/kyb-2016-1-0052

Abstract:

In this paper, the strong law of large numbers for weighted sums of negatively superadditive dependent (NSD, in short) random variables is obtained, which generalizes and improves the corresponding one of Bai and Cheng (\cite{2}) for independent and identically distributed random variables to the case of NSD random variables.

Keywords:

strong law of large numbers, weighted sums, NSD random variables

Classification:

60F15

paper.pdf

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