Title : STRONG CONVERGENCE OF WEIGHTED SUMS FOR NEGATIVELY ORTHANT DEPENDENT RANDOM VARIABLES ( Strong convergence of weighted sums for negatively orthant dependent random variables )
Authors: Vahid Fakoor , Hassan Ali Azarnoosh ,
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Abstract
We discuss in this paper the strong convergence for weighted sums of negatively orthant dependent (NOD) random variables by generalized Gaussian techniques. As a corollary, a Cesaro law of large numbers of i.i.d. random variables is extended in NOD setting by generalized Gaussian techniques
Keywords
Ceasaro mean; Generalized Gaussian; Negatively orthant dependent random variables; Strong convergence; Weighted sum;
@article{paperid:1004199,
author = {Fakoor, Vahid and Azarnoosh, Hassan Ali},
title = {STRONG CONVERGENCE OF WEIGHTED SUMS FOR NEGATIVELY ORTHANT DEPENDENT RANDOM VARIABLES},
journal = {Journal of Sciences, Islamic Republic of Iran},
year = {2006},
volume = {17},
number = {2},
month = {October},
issn = {1016-1104},
pages = {161--164},
numpages = {3},
keywords = {Ceasaro mean; Generalized Gaussian; Negatively orthant dependent random variables; Strong convergence; Weighted sum;},
}
%0 Journal Article
%T STRONG CONVERGENCE OF WEIGHTED SUMS FOR NEGATIVELY ORTHANT DEPENDENT RANDOM VARIABLES
%A Fakoor, Vahid
%A Azarnoosh, Hassan Ali
%J Journal of Sciences, Islamic Republic of Iran
%@ 1016-1104
%D 2006
