Strong limit theorems for weighted sums of negatively associated random variables

Bing Yi Jing, Han Ying Liang*

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

49 Citations (Scopus)

Abstract

In this paper, we establish strong laws for weighted sums of identically distributed negatively associated random variables. Marcinkiewicz-Zygmund's strong law of large numbers is extended to weighted sums of negatively associated random variables. Furthermore, we investigate various limit properties of Cesàro's and Riesz's sums of negatively associated random variables. Some of the results in the i.i.d. setting, such as those in Jajte (Ann. Probab. 31(1), 409-412, 2003), Bai and Cheng (Stat. Probab. Lett. 46, 105-112, 2000), Li et al. (J. Theor. Probab. 8, 49-76, 1995) and Gut (Probab. Theory Relat. Fields 97, 169-178, 1993) are also improved and extended to the negatively associated setting.

Original languageEnglish
Pages (from-to)890-909
Number of pages20
JournalJournal of Theoretical Probability
Volume21
Issue number4
DOIs
Publication statusPublished - Dec 2008

Keywords

  • Cesàro mean
  • Complete convergence
  • Negatively associated random variable
  • Strong law
  • Weighted sum

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