EconPapers    
Economics at your fingertips  
 

Admissible linear estimators in mixed linear models

Czeslaw Stepniak

Journal of Multivariate Analysis, 1989, vol. 31, issue 1, 90-106

Abstract: Inhomogeneous linear estimation in the general mixed model with possible singular covariance matrix is considered. It is shown that this problem reduces to the homogeneous linear estimation in a simpler model. In consequence, some necessary and sufficient conditions for the admissibility are derived from Rao (1976, Ann. Statist. 4 1023-1037).

Keywords: mixed; linear; model; Gauss-Markov; model; inhomogeneous/homogeneous; linear; estimation; admissibility (search for similar items in EconPapers)
Date: 1989
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0047-259X(89)90052-3
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:31:y:1989:i:1:p:90-106

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

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:31:y:1989:i:1:p:90-106