Complete Convergence for Maximal Sums of Negatively Associated Random Variables
Author
Source
Journal of Probability and Statistics
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-06-24
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Necessary and sufficient conditions are given for the complete convergence of maximal sums of identically distributed negatively associated random variables.
The conditions are expressed in terms of integrability of random variables.
Proofs are based on new maximal inequalities for sums of bounded negatively associated random variables.
American Psychological Association (APA)
Kruglov, Victor M.. 2010. Complete Convergence for Maximal Sums of Negatively Associated Random Variables. Journal of Probability and Statistics،Vol. 2010, no. 2010, pp.1-17.
https://search.emarefa.net/detail/BIM-496943
Modern Language Association (MLA)
Kruglov, Victor M.. Complete Convergence for Maximal Sums of Negatively Associated Random Variables. Journal of Probability and Statistics No. 2010 (2010), pp.1-17.
https://search.emarefa.net/detail/BIM-496943
American Medical Association (AMA)
Kruglov, Victor M.. Complete Convergence for Maximal Sums of Negatively Associated Random Variables. Journal of Probability and Statistics. 2010. Vol. 2010, no. 2010, pp.1-17.
https://search.emarefa.net/detail/BIM-496943
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496943
