Necessary conditions for admissibility of matrix linear estimators in a multivariate linear model
type: Item
instance of: scholarly article
title: Necessary conditions for admissibility of matrix linear estimators in a multivariate linear model
zbMATH Open document ID: 1189.62005
author: Etsuo Miyaoka
author: Kazuo Noda
published in: Metrika
publication date: 2010-06-16T00:00:00Z
Mathematics Subject Classification ID: 62C15
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62J05
zbMATH DE Number: 5721618
zbMATH Keywords: parameter matrix linear function
zbMATH Keywords: quadratic matrix loss functions
zbMATH Keywords: matrix normal distributions
zbMATH Keywords: unknown covariance matrix
zbMATH Keywords: the Stein problem
zbMATH Keywords: James-Stein type matrix estimator
MaRDI profile type: Publication
full work available at URL: s00184-009-0238-3
OpenAlex ID: W2034424070
cites work: All Admissible Linear Estimates of the Mean Vector
cites work: Q4360236
cites work: Admissibility and inadmissibility of a generalized Bayes unbiased estimator in a multivariate linear model
cites work: Estimation of parameters in a linear model
cites work: Q3237829
cites work: Admissibilities of matrix linear estimators multivariate linear models
DOI: 10.1007/S00184-009-0238-3
description: scientific article; zbMATH DE number 5721618