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.
. (2006). Strong Convergence of Weighted Sums for Negatively Orthant Dependent Random Variables. (e31733). Journal of Sciences, Islamic Republic of Iran, 17(2), e31733
MLA
. "Strong Convergence of Weighted Sums for Negatively Orthant Dependent Random Variables" .e31733 , Journal of Sciences, Islamic Republic of Iran, 17, 2, 2006, e31733.
HARVARD
. (2006). 'Strong Convergence of Weighted Sums for Negatively Orthant Dependent Random Variables', Journal of Sciences, Islamic Republic of Iran, 17(2), e31733.
CHICAGO
, "Strong Convergence of Weighted Sums for Negatively Orthant Dependent Random Variables," Journal of Sciences, Islamic Republic of Iran, 17 2 (2006): e31733,
VANCOUVER
. Strong Convergence of Weighted Sums for Negatively Orthant Dependent Random Variables. J. Sci. I. R. I.. 2006;17(2):e31733.
Journal of Sciences, Islamic Republic of Iran