Strong Convergence for weighed sums of negatively superadditive dependent random variables
Strong Convergence for weighed sums of negatively superadditive dependent random variables
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.