Estimators of slopes in linear errors-in-variables regression models when the predictors have known reliability matrix
type: Item
instance of: scholarly article
title: Estimators of slopes in linear errors-in-variables regression models when the predictors have known reliability matrix
zbMATH Open document ID: 0792.62057
DOI: 10.1016/0167-7152(93)90005-4
author: Leon Jay Gleser
published in: Statistics \& Probability Letters
publication date: 1994-07-26T00:00:00Z
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62C15
zbMATH DE Number: 203390
zbMATH Keywords: signal-to-noise ratio
zbMATH Keywords: bounded slopes
zbMATH Keywords: equivariant estimation
zbMATH Keywords: matrix loss
zbMATH Keywords: minimax estimator
zbMATH Keywords: total squared-error loss
zbMATH Keywords: linear errors-in- variables regression model
zbMATH Keywords: error-prone measurement
zbMATH Keywords: least squares estimator
zbMATH Keywords: reliability matrix
zbMATH Keywords: predictors
zbMATH Keywords: estimation of slopes
zbMATH Keywords: random regressors
zbMATH Keywords: best unbiased estimator
zbMATH Keywords: maximum likelihood estimator
zbMATH Keywords: linear shrinkage
zbMATH Keywords: linearly inadmissible
zbMATH Keywords: total mean-squared-error risk
MaRDI profile type: Publication
full work available at URL: 0167-7152(93)90005-4
OpenAlex ID: W2044067321
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description: scientific article; zbMATH DE number 203390