Surrogate models in ill-conditioned systems
type: Item
instance of: scholarly article
title: Surrogate models in ill-conditioned systems
zbMATH Open document ID: 1184.62121
published in: Journal of Statistical Planning and Inference
publication date: 2010-04-14T00:00:00Z
Mathematics Subject Classification ID: 62J07
Mathematics Subject Classification ID: 62J20
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5692779
zbMATH Keywords: ill-conditioned models
zbMATH Keywords: ridge regression: properties
zbMATH Keywords: anomalies
zbMATH Keywords: surrogate models
zbMATH Keywords: marques of orthogonality
zbMATH Keywords: asymptotics
author: Donald R. Jensen
author: Donald E. Ramirez
MaRDI profile type: Publication
full work available at URL: j.jspi.2010.02.001
OpenAlex ID: W2114052257
Wikidata QID: Q57447147
cites work: The Acceptability of Regression Solutions: Another Look at Computational Accuracy
cites work: Tolerance and Condition in Regression Computations
cites work: The Effect of Errors in the Independent Variables in Linear Regression
cites work: Ridge Regression: Biased Estimation for Nonorthogonal Problems
cites work: Ridge regression:some simulations
cites work: Q3010729
cites work: On the Mean Square Error of Parameter Estimates for Some Biased Estimators
cites work: Generalized Inverses, Ridge Regression, Biased Linear Estimation, and Nonlinear Estimation
cites work: Ridge Regression in Practice
cites work: Inequalities: theory of majorization and its applications
cites work: Classical F-Tests and Confidence Regions for Ridge Regression
cites work: Solving Systems of Linear Equations With a Positive Definite, Symmetric, but Possibly Ill-Conditioned Matrix
cites work: Collinearity and least squares regression
cites work: Multivariate Calibration — Direct and Indirect Regression Methodology
DOI: 10.1016/J.JSPI.2010.02.001
description: scientific article; zbMATH DE number 5692779