JOURNAL ARTICLE

Complete Convergence for Weighted Sums of Negatively Superadditive Dependent Random Variables

Abstract

Let {Xn,n�1} be a sequence of negatively superadditive dependent (NSD, in short) random variables and {ank,1� kn,n�1} be an array of real numbers. Un- der some suitable conditions, we present some results on complete convergence for weighted sums a n=1 ankXk of NSD random variables by using the Rosenthal type in- equality. The results obtained in the paper generalize some corresponding ones for independent random variables and negatively associated random variables.

Keywords:
Superadditivity Mathematics Convergence (economics) Random variable Statistics Mathematical economics Economics

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Probability and Risk Models
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Random Matrices and Applications
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Advanced Harmonic Analysis Research
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