Some strong limit theorems of weighted sums for negatively dependent generalized Gaussian random variables-Reference-Cited by-同舟云学术

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

Published:2007-06 Issue:11 Volume:77 Page:1106-1110
ISSN:0167-7152
Container-title:Statistics & Probability Letters
language:en
Short-container-title:Statistics & Probability Letters

Author:

Amini M.,Zarei H.,Bozorgnia A.

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference10 articles.

1. Sub-Gaussian techniques in proving some strong limit theorems;Amini;WSEAS Trans. Sys.,2002

2. The strong law of large numbers for ND generalized Gaussian random variables;Amini;J. Stochastic Anal. Appl.,2004

3. Some concepts of negative dependence;Block;Ann. Probab.,1982

4. Bozorgnia, A., Patterson, R.F., Taylor, R.L., 1993. Limit theorems for ND r.v.'s. Technical Report No. 93-19, The University of Georgia.

5. Sub-Gaussian random variables;Buldygin;Ukrainian Math. J.,1980

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2. Some Exponential Inequalities for Negatively Orthant Dependent Random Variables;Acta Mathematicae Applicatae Sinica, English Series;2020-10

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4. On the strong convergence properties for weighted sums of negatively orthant dependent random variables;Applied Mathematics-A Journal of Chinese Universities;2018-03

5. Negative dependence for fuzzy random variables: Basic definitions and some limit theorems;Filomat;2016

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