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Strong convergence properties for arrays of rowwise negatively orthant dependent random variables

  • Aiting Shen , Yu Zhang and Andrei Volodin
Published/Copyright: February 28, 2017
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Abstract

Let {Xni, i ≥ 1, n ≥1} be an array of rowwise negatively orthant dependent random variables which is stochastically dominated by a random variable X. Wang et al. [15. Complete convergence for arrays of rowwise negatively orthant dependent random variables, RACSAM, 106 (2012), 235–245] studied the complete convergence for arrays of rowwise negatively orthant dependent random variables under the condition that X has an exponential moment, which seems too strong. We will further study the complete convergence for arrays of rowwise negatively orthant dependent random variables under the condition that X has a moment, which is weaker than exponential moment. Our results improve the corresponding ones of Wang et al. [15].

MSC 2010: Primary 60F15

This work was supported by the National Natural Science Foundation of China (11501004), the Natural Science Foundation of Anhui Province (1508085J06), the Provincial Natural Science Research Project of Anhui Colleges (KJ2015A018), Doctoral Research Start-up Funds Projects of Anhui University, the Quality Engineering Project of Anhui Province (2015jyxm045) , the Quality Improvement Projects for Undergraduate Education of Anhui University (ZLTS2015035) and the Students Science Research Training Program of Anhui University (KYXL2016003).



(Communicated by Gejza Wimmer)


Acknowledgement

The authors are most grateful to the Editor and anonymous referees for careful reading of the manuscript and valuable suggestions which helped in improving an earlier version of this paper.

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Received: 2014-05-27
Accepted: 2015-03-13
Published Online: 2017-02-28
Published in Print: 2017-03-01

© 2017 Mathematical Institute Slovak Academy of Sciences

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