Journal of Sciences, Islamic Republic of Iran
Strong Convergence of Weighted Sums for Negatively Orthant Dependent Random Variables
Abstract
We discuss in this paper the strong convergence for weighted sums of negatively orthant dependent (NOD) random variables by generalized Gaussian techniques. As a corollary, a Cesaro law of large numbers of i.i.d. random variables is extended in NOD setting by generalized Gaussian techniques.
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