Strong Convergence of Weighted Sums for Negatively Orthant Dependent Random Variables
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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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Journal title
volume 17 issue 2
pages -
publication date 2006-06-01
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