EconPapers    
Economics at your fingertips  
 

Weighted least squares estimation of the extreme value index

Jürg Hüsler, Deyuan Li and Samuel Müller

Statistics & Probability Letters, 2006, vol. 76, issue 9, 920-930

Abstract: In this paper we present the weighted least squares estimator for the extreme value index, and prove its consistency and asymptotic normality.

Keywords: Extreme; value; index; Least; squares; estimator; Hill; estimator (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(05)00410-4
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:76:y:2006:i:9:p:920-930

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 2025-04-17
Handle: RePEc:eee:stapro:v:76:y:2006:i:9:p:920-930