EconPapers    
Economics at your fingertips  
 

Asymptotic independence and perfect dependence of vector components of multivariate extreme statistics

Rinya Takahashi

Statistics & Probability Letters, 1994, vol. 19, issue 1, 19-26

Abstract: Simple necessary and sufficient conditions for asymptotic independence and perfect dependence of the vector components of multivariate extreme statistics are shown. Related results for a multivariate tail equivalence are also shown.

Keywords: Multivariate; extreme; statistics; asymptotic; independence; asymptotic; perfect; dependence; multivariate; tail; equivalence (search for similar items in EconPapers)
Date: 1994
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(94)90063-9
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:stapro:v:19:y:1994:i:1:p:19-26

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

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:19:y:1994:i:1:p:19-26