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WLLN for arrays of nonnegative random variables

Author

Listed:
  • Ankirchner, Stefan
  • Kruse, Thomas
  • Urusov, Mikhail

Abstract

We provide a weak law of large numbers for arrays of nonnegative and pairwise negatively associated (in each row) random variables under a rather weak domination condition.

Suggested Citation

  • Ankirchner, Stefan & Kruse, Thomas & Urusov, Mikhail, 2017. "WLLN for arrays of nonnegative random variables," Statistics & Probability Letters, Elsevier, vol. 122(C), pages 73-78.
    • Handle: RePEc:eee:stapro:v:122:y:2017:i:c:p:73-78
    DOI: 10.1016/j.spl.2016.10.030
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    References listed on IDEAS

    as
    1. Gut, Allan, 1992. "The weak law of large numbers for arrays," Statistics & Probability Letters, Elsevier, vol. 14(1), pages 49-52, May.
    2. Dug Hun Hong & Kwang Sik Oh, 1995. "On the weak law of large numbers for arrays," Statistics & Probability Letters, Elsevier, vol. 22(1), pages 55-57, January.
    3. Sung, Soo Hak & Hu, Tien-Chung & Volodin, Andrei, 2005. "On the weak laws for arrays of random variables," Statistics & Probability Letters, Elsevier, vol. 72(4), pages 291-298, May.
    4. Sung, Soo Hak, 1998. "Weak law of large numbers for arrays," Statistics & Probability Letters, Elsevier, vol. 38(2), pages 101-105, June.
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