
Complete moment convergence forweighted sums of extended negatively dependent random variables
Author(s) -
Yang Ding,
Xufei Tang,
Xin Deng,
Xuejun Wang
Publication year - 2017
Publication title -
filomat
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 34
eISSN - 2406-0933
pISSN - 0354-5180
DOI - 10.2298/fil1714341d
Subject(s) - mathematics , moment (physics) , convergence (economics) , proofs of convergence of random variables , random variable , convergence of random variables , second moment of area , statistics , sum of normally distributed random variables , geometry , physics , classical mechanics , economics , economic growth
In this paper, the complete moment convergence for the weighted sums of extended negatively dependent (END, in short) random variables is investigated. Some general conditions to prove the complete moment convergence are provided. The results obtained in the paper generalize and improve the corresponding ones for some dependent sequences.