A note on the almost sure convergence of sums of negatively dependent random variables

Przemyslaw Matula

Statistics & Probability Letters, 1992, vol. 15, issue 3, 209-213

Abstract: We study the almost sure convergence of sums of negatively dependent random variables, in particular, the classical strong law of large numbers for independent distributed random variables is generalized to the case of pairwise negative quadrant dependent random variables. We also extend the three series theorem to the case of negatively associated random variables.

Keywords: Strong; law; of; large; numbers; negative; quadrant; dependent; random; variables; negatively; associated; random; variables (search for similar items in EconPapers)
Date: 1992
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Citations: View citations in EconPapers (31)

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