Title of article :
Strong Convergence of Weighted Sums for Negatively Orthant Dependent Random Variables
Author/Authors :
Fakoor، V. Department of Statistics - School of Mathematical Sciences - Ferdowsi University, Mashhad, Iran , AZARNOOSH، H.A. No Affiliation
Issue Information :
فصلنامه با شماره پیاپی 0 سال 2006
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.
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 :
Weighted sum , Strong convergence , Negatively orthant dependent random variables , Generalized Gaussian , Cesaro mean
Journal title :
Journal of Sciences
Journal title :
Journal of Sciences
