Equivalent Conditions of Complete Convergence for Weighted Sums of Sequences of Negatively Dependent Random Variables
Author
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-10
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The complete convergence for weighted sums of sequences of negatively dependent random variables is investigated.
By applying moment inequality and truncation methods, the equivalent conditions of complete convergence for weighted sums of sequences of negatively dependent random variables are established.
These results not only extend the corresponding results obtained by Li et al.
(1995), Gut (1993), and Liang (2000) to sequences of negatively dependent random variables, but also improve them.
American Psychological Association (APA)
Guo, Ming Le. 2012. Equivalent Conditions of Complete Convergence for Weighted Sums of Sequences of Negatively Dependent Random Variables. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-471232
Modern Language Association (MLA)
Guo, Ming Le. Equivalent Conditions of Complete Convergence for Weighted Sums of Sequences of Negatively Dependent Random Variables. Abstract and Applied Analysis No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-471232
American Medical Association (AMA)
Guo, Ming Le. Equivalent Conditions of Complete Convergence for Weighted Sums of Sequences of Negatively Dependent Random Variables. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-471232
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471232