The Weak Convergence for Functions of Negatively Associated Random Variables
Li-Xin Zhang
Journal of Multivariate Analysis, 2001, vol. 78, issue 2, 272-298
Abstract:
Let {Xn, n[greater-or-equal, slanted]1} be a sequence of stationary negatively associated random variables, Sj(l)=[summation operator]li=1 Xj+i, Sn=[summation operator]ni=1 Xi. Suppose that f(x) is a real function. Under some suitable conditions, the central limit theorem and the weak convergence for sumsare investigated. Applications to limiting distributions of estimators of Var Sn are also discussed.
Keywords: association; negative; association; the; central; limit; theorem; weak; convergence (search for similar items in EconPapers)
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0047-259X(00)91949-3
Full text for ScienceDirect subscribers only
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:eee:jmvana:v:78:y:2001:i:2:p:272-298
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Journal of Multivariate Analysis is currently edited by de Leeuw, J.
More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().