Cover Image

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

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.
Year of publication:
2007
Authors: Amini, M. ; Zarei, H. ; Bozorgnia, A.
Published in:
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 77.2007, 11, p. 1106-1110
Publisher: Elsevier
Keywords: Negatively dependent Generalized Gaussian random variables Strong law of large numbers Weighted sums
Online Resource
Check full text access |
Check Google Scholar
In libraries world-wide (WorldCat)
In German libraries (KVK)
subito order
I need help
Type of publication: Article
Source:
Persistent link: https://www.econbiz.de/10005254891
Similar items by person