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Complete convergence of the non-identically distributed pairwise NQD random sequences

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  • Xili Tan
  • Hang Wang
  • Yong Zhang

Abstract

In this article, we study complete convergence of the nonidentically distributed pairwise negatively quadrant dependent (NQD) random sequences by the moment inequality and terminating random variables,which extend and improve the previous relevant results.

Suggested Citation

  • Xili Tan & Hang Wang & Yong Zhang, 2016. "Complete convergence of the non-identically distributed pairwise NQD random sequences," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 45(9), pages 2626-2637, May.
    • Handle: RePEc:taf:lstaxx:v:45:y:2016:i:9:p:2626-2637
    DOI: 10.1080/03610926.2013.804569
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    Cited by:

    1. Lita da Silva, João, 2018. "Strong laws of large numbers for pairwise quadrant dependent random variables," Statistics & Probability Letters, Elsevier, vol. 137(C), pages 349-358.

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