A Central Limit Theorem for Random Fields of Negatively Associated Processes
Ming Yuan (),
Chun Su () and
Taizhong Hu ()
Additional contact information
Ming Yuan: University of Wisconsin
Chun Su: University of Science and Technology of China
Taizhong Hu: University of Science and Technology of China
Journal of Theoretical Probability, 2003, vol. 16, issue 2, 309-323
Abstract:
Abstract A central limit theorem for negatively associated random fields is established under the fairly general conditions. We use the finite second moment condition instead of the finite (2+δ)th moment condition used by Roussas.(15) A similar result is also given for positively associated sequences.
Keywords: central limit theorem (CLT); random field; positive association; negative association (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1023/A:1023538824937 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jotpro:v:16:y:2003:i:2:d:10.1023_a:1023538824937
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10959
DOI: 10.1023/A:1023538824937
Access Statistics for this article
Journal of Theoretical Probability is currently edited by Andrea Monica
More articles in Journal of Theoretical Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().