Geodesic
Strong Convergence for weighed sums of negatively superadditive dependent random variables
Kybernetika, Tome 52 (2016) no. 1, pp. 52-65

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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 ([2]) for independent and identically distributed random variables to the case of NSD random variables.
DOI : 10.14736/kyb-2016-1-0052
Classification : 60F15
Keywords: NSD random variables; weighted sums; strong law of large numbers 
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     title = {Strong {Convergence} for weighed sums of negatively superadditive dependent random variables},
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Chen, Zhiyong; Wang, Haibin; Wang, Xuejun; Hu, Shuhe. Strong Convergence for weighed sums of negatively superadditive dependent random variables. Kybernetika, Tome 52 (2016) no. 1, pp. 52-65. doi: 10.14736/kyb-2016-1-0052

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