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Strong laws of large numbers for weighted sums of negatively dependent random variables

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Abstract

For double arrays of constants $\{a_{ni}, ~ 1\leq i \leq k_n,~n\geq 1 \}$ and sequences of negatively orthant dependent random variables $\{X_n,~ n\geq 1\}$, the conditions for strong law of large number of $\sum_{i=1}^{k_n} a_{ni} X_i $ are given. Both cases $k_n \uparrow \infty$ and $k_n=\infty$ are treated.

참고문헌 (8)

  1. "Almost sure convergence theorems of weighted sumsof random variables", pp.5 377~ (1987)
  2. "Negative association of random variables withapplications", pp.295~ (1983)
  3. "On the strong law for asymptotically almostnegatively associated random variables", 34(3), pp.979~989 (2004)
  4. "Almost sure convergence for weighted sums of negativelyorthant dependent random variables", 42(5), pp.949~957 (2005)
  5. "Some concepts of dependence", 37, pp.1137~1153 (1966)
  6. "A note on the almost sure convergence of sums of negatively dependentrandom variables", pp.213~ (1992)
  7. "A strong law of large numbersfor arrays of rowwise negatively dependent random variables", 20(3), pp.643~656 (2002)
  8. "Limit theorems for sums and maxima of pairwise negative quadrant de-pendent random variables", 8(3), pp.249~253 (1995)

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