EconPapers    
Economics at your fingertips  
 

Local asymptotic minimax risk bounds in a locally asymptotically mixture of normal experiments under asymmetric loss

Debasis Bhattacharya and A. K. Basu

Papers from arXiv.org

Abstract: Local asymptotic minimax risk bounds in a locally asymptotically mixture of normal family of distributions have been investigated under asymmetric loss functions and the asymptotic distribution of the optimal estimator that attains the bound has been obtained.

Date: 2006-11
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in IMS Lecture Notes--Monograph Series 2006, Vol. 49, 312-321

Downloads: (external link)
http://arxiv.org/pdf/math/0611187 Latest version (application/pdf)

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:arx:papers:math/0611187

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().

 
Page updated 2025-03-19
Handle: RePEc:arx:papers:math/0611187