Bivariate CDF iterations and asymptotic independence
C.C.Y. Dorea and
S. Sastrosoewignjo
Journal of Multivariate Analysis, 1987, vol. 23, issue 2, 276-286
Abstract:
Asymptotic independence under weak convergence of sequences of bivariate random vectors is studied via the behavior of a certain class of bivariate cdf iterands that includes the extreme value iterand and a certain maximin iterand.
Keywords: asymptotic; independence; cdf; iterands; limiting; distribution (search for similar items in EconPapers)
Date: 1987
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0047-259X(87)90157-6
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:23:y:1987:i:2:p:276-286
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 ().