EconPapers    
Economics at your fingertips  
 

A comparison of estimators of functionals of the distribution of a maximum

Jonathan P. Cohen

Statistics & Probability Letters, 1990, vol. 10, issue 3, 257-261

Abstract: D independent observations of M are available, where M is the maximum of n independent observations from an unknown distribution F in the Gumbel extreme domain of attraction. Various parametric and non-parametric estimates of functions of M's distribution are compared.

Keywords: Extreme; value; theory; maximum; likelihood; estimation; empirical; distribution (search for similar items in EconPapers)
Date: 1990
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(90)90083-J
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:10:y:1990:i:3:p:257-261

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:10:y:1990:i:3:p:257-261