EconPapers    
Economics at your fingertips  
 

Improved minimax estimation of powers of the variance of a multivariate normal distribution under the entropy loss function

Nabendu Pal and Chiahua Ling

Statistics & Probability Letters, 1995, vol. 24, issue 3, 205-211

Abstract: Consider the problem of estimating positive powers of the variance of a multivariate normal distribution. We show that Strawderman (Strawderman, 1974) type minimax estimators, which are better than the best affine equivariant estimators under the quadratic loss function, can also be derived under the entropy loss function.

Keywords: Affine; equivariance; Loss; function; Minimax; estimator; Risk; function; Uniform; domination (search for similar items in EconPapers)
Date: 1995
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(94)00172-5
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:24:y:1995:i:3:p:205-211

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:24:y:1995:i:3:p:205-211