Admissible linear estimators in mixed linear models
type: Item
instance of: scholarly article
title: Admissible linear estimators in mixed linear models
zbMATH Open document ID: 0709.62055
DOI: 10.1016/0047-259X(89)90052-3
author: Czesław Stępniak
published in: Journal of Multivariate Analysis
publication date: 1989-01-01T00:00:00Z
review text: Homogeneous and inhomogeneous linear estimation in the general mixed model with possibly singular covariance matrix is considered. The admissibility in the mixed models is investigated using an appropriate representation of the risk function.
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62C15
zbMATH DE Number: 4166383
zbMATH Keywords: inhomogeneous linear estimation
zbMATH Keywords: Gauss-Markov model
zbMATH Keywords: homogeneous linear estimation
zbMATH Keywords: general mixed model
zbMATH Keywords: singular covariance matrix
reviewed by: Emiliana Ursianu
MaRDI profile type: Publication
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full work available at URL: 0047-259x(89)90052-3
OpenAlex ID: W2152518034
description: scientific article; zbMATH DE number 4166383