Some strong limit theorems of weighted sums for negatively dependent generalized Gaussian random variables

M. Amini, H. Zarei and A. Bozorgnia

Statistics & Probability Letters, 2007, vol. 77, issue 11, 1106-1110

Abstract: In this paper, we study strong convergence of weighted sums , where {Xn,n[greater-or-equal, slanted]1} is a sequence of negative dependence, generalized Gaussian random variables and ank, n[greater-or-equal, slanted]1, k[greater-or-equal, slanted]1 is an array of real numbers such that, for [beta]>0 and every n[greater-or-equal, slanted]1.

Keywords: Negatively; dependent; Generalized; Gaussian; random; variables; Strong; law; of; large; numbers; Weighted; sums (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (3)

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