EconPapers    
Economics at your fingertips  
 

Admissible linear estimators of multivariate regression coefficient with respect to an inequality constraint under matrix balanced loss function

Daojiang He and Jie Wu

Journal of Multivariate Analysis, 2014, vol. 129, issue C, 37-43

Abstract: In this paper, the admissibility of linear estimators for the multivariate linear regression coefficient with respect to an inequality constraint under matrix balanced loss function is investigated. The sufficient and necessary conditions for admissible homogeneous and inhomogeneous linear estimators are obtained, respectively.

Keywords: Admissibility; Inequality constraint; Matrix balanced loss function; Homogeneous (inhomogeneous) linear estimator (search for similar items in EconPapers)
Date: 2014
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/S0047259X14000797
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:jmvana:v:129:y:2014:i:c:p:37-43

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

DOI: 10.1016/j.jmva.2014.04.005

Access Statistics for this article

Journal of Multivariate Analysis is currently edited by de Leeuw, J.

More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jmvana:v:129:y:2014:i:c:p:37-43