All admissible linear estimators of the regression parameter vector in the case of an arbitrary parameter subset
type: Item
instance of: scholarly article
title: All admissible linear estimators of the regression parameter vector in the case of an arbitrary parameter subset
zbMATH Open document ID: 0838.62005
DOI: 10.1016/0378-3758(95)00016-3
author: Kurt Hoffmann
published in: Journal of Statistical Planning and Inference
publication date: 1996-02-13T00:00:00Z
Mathematics Subject Classification ID: 62C15
Mathematics Subject Classification ID: 62J05
zbMATH DE Number: 844199
zbMATH Keywords: linear model
zbMATH Keywords: set of all admissible linear estimators
zbMATH Keywords: generalized quadratic risk
zbMATH Keywords: characterization theorem
MaRDI profile type: Publication
full work available at URL: 0378-3758(95)00016-3
OpenAlex ID: W2018159632
cites work: Characterizations of admissible linear estimators in restricted linear models
cites work: Admissible linear estimators in the general Gauss-Markov model
cites work: Admissible linear estimators of an arbitrary vector of parametric functions in the general Gauss-Markov model
cites work: Multivariate calculation. Use of the continuous groups
cites work: Bayes, Admissible, and Minimax Linear Estimators in Linear Models with Restricted Parameter Space
cites work: Admissibility of linear estimators with respect to restricted parameter sets
cites work: Admissibility in linear estimation
cites work: Q4039873
cites work: Minimax linear regression estimation with symmetric parameter restrictions
cites work: Estimation of parameters in a linear model
cites work: A note on estimating the common mean of k normal distributions and the stein problem
description: scientific article; zbMATH DE number 844199