Relative squared error prediction in the generalized linear regression model
type: Item
instance of: scholarly article
title: Relative squared error prediction in the generalized linear regression model
zbMATH Open document ID: 1026.62072
author: Bernhard F. Arnold
author: Peter Stahlecker
published in: Statistical Papers
publication date: 2003-05-04T00:00:00Z
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62C20
zbMATH DE Number: 1903720
zbMATH Keywords: Kuks-Olman estimator
zbMATH Keywords: linear affine predictor
zbMATH Keywords: minimax principle
zbMATH Keywords: ridge regression
MaRDI profile type: Publication
full work available at URL: s00362-002-0136-5
OpenAlex ID: W2016552468
cites work: Q4381666
cites work: Another view of the Kuks-Olman estimator
cites work: Minimax estimators for linear models with nonrandom disturbances
cites work: Estimation and prediction for linear models in general spaces
cites work: Bayes, Admissible, and Minimax Linear Estimators in Linear Models with Restricted Parameter Space
cites work: Best Linear Unbiased Prediction in the Generalized Linear Regression Model
cites work: Ridge Regression: Biased Estimation for Nonorthogonal Problems
cites work: Characterization of minimax linear estimators in linear regression
cites work: Q4768492
cites work: Q5634721
cites work: A minimax linear estimator for linear parameters under restrictions in form of inequalities
cites work: Some properties of \([tr(Q^{2p})]^{1/2p}\) with application to linear minimax estimation
cites work: Minimax linear regression estimation with symmetric parameter restrictions
cites work: Q3999496
cites work: Q4849481
cites work: Linear models. Least squares and alternatives
cites work: Q3796606
cites work: Minimax estimation in linear regression with singular covariance structure and convex polyhedral constraints
DOI: 10.1007/S00362-002-0136-5
description: scientific article; zbMATH DE number 1903720