Title : ( Mean Convergence for Weighted Sums of Negative Superadditive Dependent Random Variables )
Authors: Habibi Naderi , Mohammad Amini ,
Full TextAbstract
The mean convergence is obtained for weighted sums of negative superadditive dependent (NSD) random variables under the condition of uniform integrability concerning an array of constants. Furthermore, a simulation study is conducted to confirm the obtained results.
Keywords
, mean convergence, negative superadditive dependent random variables, UI concerning an array of constants
@article{paperid:1103470,
author = {حبیب نادری and Amini, Mohammad},
title = {Mean Convergence for Weighted Sums of Negative Superadditive Dependent Random Variables},
journal = {Lobachevskii Journal of Mathematics},
year = {2025},
volume = {46},
number = {4},
month = {June},
issn = {1995-0802},
pages = {1631--1639},
numpages = {8},
keywords = {mean convergence; negative superadditive dependent random variables; UI concerning an array of constants},
}
%0 Journal Article
%T Mean Convergence for Weighted Sums of Negative Superadditive Dependent Random Variables
%A حبیب نادری
%A Amini, Mohammad
%J Lobachevskii Journal of Mathematics
%@ 1995-0802
%D 2025
