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A complete convergence theorem for weighted sums of arrays of rowwise negatively dependent random variables. (English) Zbl 06210053
Summary: In this article, applying moment inequality of negatively dependent (ND) random variables which obtained by Asadian et al., the complete convergence theorem for weighted sums of arrays of rowwise ND random variables is discussed. As a result, the complete convergence theorem for ND arrays of random variables is extended. Our results generalize and improve those on complete convergence theorem previously obtained by Hu et al., Ahmed et al, Volodin, and Sung from the independent and identically distributed case to ND sequences.
##### MSC:
 62F12 Asymptotic properties of parametric estimators
##### References:
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