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Almost sure convergence for weighted sums of negatively orthant dependent random variables

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Abstract

For weighted sum of a sequence {X,X_n ,n geq 1 } of identically distributed, negativelyorthant dependent random variables suchthat |X|^r , r>0, has a finite moment generating function, a strong law of large numbers is established.

참고문헌 (10)

  1. "Marcinkiewicz strong laws forlinear statistics", 46, pp.105~ (2000)
  2. "Extensions of the strong law oflarge numbers of Marcinkiewicz and Zygmund for dependent randomvariables", 71, pp.327~ (1996)
  3. "Almost sure convergence of weightedsums of NA sequences", 3, pp.11~ (1998)
  4. "Limiting behavior of weighted sumsof independent random variables", 1, pp.810~ (1973)
  5. "A strong law for weighted sums of i.i.d. randomvariables", 8, pp.625~ (1995)
  6. "Multivariate Negative Dependence", 10, pp.307~ (1981)
  7. "Some Concepts of Dependence", 43, pp.1137~ (1966)
  8. "A note on the almost sure convergence of sums ofnegatively dependent random variables", 15, pp.209~ (1992)
  9. "Limit theorems for sums and maxima of pairwisenegative quadrant dependent random variables Syst.", 8, pp.251~253 (1995)
  10. "Almost certain convergence in double arrays", 69, pp.331~ (1985)

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