An empirical study of PLAD regression using the bootstrap
type: Item
instance of: scholarly article
title: An empirical study of PLAD regression using the bootstrap
zbMATH Open document ID: 1196.62096
author: Athanassios Kondylis
author: Joe Whittaker
published in: Computational Statistics
publication date: 2010-04-22T00:00:00Z
full work available at URL: 180 2007 Article 34.pdf
review text: An analogue of partial least squares (PLS) linear regression is considered for the least absolute deviations technique, called PLAD. The authors develop bootstrap confidence intervals for the regression coefficients and a bootstrap estimate for the prediction error. Results of simulations and applications to the analysis of near infrared spectra are presented.
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62G09
Mathematics Subject Classification ID: 62G15
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 5697292
zbMATH Keywords: partial least absolute deviation regression
zbMATH Keywords: confidence intervals
zbMATH Keywords: prediction error
describes a project that uses: bootstrap
MaRDI profile type: Publication
OpenAlex ID: W2005543050
cites work: Q4372481
cites work: Better Bootstrap Confidence Intervals
cites work: Q4318617
cites work: Improvements on Cross-Validation: The .632+ Bootstrap Method
cites work: Robust Statistics
cites work: Q3996916
cites work: Linear Model Selection by Cross-Validation
DOI: 10.1007/S00180-007-0034-3
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description: scientific article; zbMATH DE number 5697292