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2006 / June Volume 1 No.2
On the strong law of large numbers for sequences of pairwise negative quadrant dependent random variables
Published Date
2006 / June
Title
On the strong law of large numbers for sequences of pairwise negative quadrant dependent random variables
Author
Deli Li, Andrew Rosalsky, Andrei I. Volodin
Keyword
Almost certain convergence, Sequence of pairwise negative quadrant dependent random variables, strong law of large numbers, weighted sums, Almost certain convergence, sequence of pairwise negative quadrant dependent random variables, strong law of large numbers, weighted sums
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Pagination
281-305
Abstract
For a sequence of pairwise negative quadrant dependent random variables {$X_n, n \ge 1$}, conditions are given under which normed and centered partial sums converge to 0 almost certainly. As special cases, new results are obtained for weighted sums {$\sum^n_{j=1} a_j X_j, n \ge 1$} where {$a_n, n \ge 1$} is a sequence of positive constants and the {$X_n, n \ge 1$} are also identically distributed. A result of Matula [19] is obtained by taking an $a_n \equiv 1$. Moreover, it is shown that a pairwise negative quadrant dependent sequence (which is not a sequence of independent random variables) can be constructed having any specied continuous marginal distributions. Illustrative examples are provided, two of which show that the pairwise negative quadrant dependence assumption cannot be dispensed with.
AMS Subject
Classification
60F15
Received
2005-01-14
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