Complete Convergence for Negatively Dependent Sequences of Random Variables
<p>Abstract</p> <p>We study the complete convergence for negatively dependent sequences of random variables. As a result, we extend some complete convergence theorems for independent random variables to the case of negatively dependent random variables without necessarily imposing...
Main Author: | Wu Qunying |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2010-01-01
|
Series: | Journal of Inequalities and Applications |
Online Access: | http://www.journalofinequalitiesandapplications.com/content/2010/507293 |
Similar Items
-
Complete Convergence for Negatively Dependent Sequences of Random Variables
by: Qunying Wu
Published: (2010-01-01) -
Complete Moment Convergence for Negatively Dependent Sequences of Random Variables
by: Qunying Wu, et al.
Published: (2016-01-01) -
Complete Convergence for Weighted Sums of Sequences of Negatively Dependent Random Variables
by: Qunying Wu
Published: (2011-01-01) -
Complete convergence and complete moment convergence for negatively associated sequences of random variables
by: Qunying Wu, et al.
Published: (2016-06-01) -
Equivalent conditions of complete moment convergence for extended negatively dependent random variables
by: Qunying Wu, et al.
Published: (2017-05-01)