A NEW ROBUST PARTIAL LEAST SQUARES REGRESSION METHOD BASED ON A ROBUST AND AN EFFICIENT ADAPTIVE REWEIGHTED ESTIMATOR OF COVARIANCE

* Partial Least Squares Regression (PLSR) is a linear regression technique developed as an incomplete or "partial" version of the least squares estimator of regression, applicable when high or perfect multicollinearity is present in the predictor variables. Robust methods are introduced to...

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Bibliographic Details
Published inRevstat Vol. 17; no. 4; p. 449
Main Authors Polat, Esra, Gunay, Suleyman
Format Journal Article
LanguageEnglish
Published Instituto Nacional de Estatistica 01.10.2019
Instituto Nacional de Estatística | Statistics Portugal
Subjects
Algorithms
Analysis
efficient estimation
Methods
Minimum Covariance Determinant (MCD)
partial least squares regression
Regression analysis
robust covariance matrix
robust estimation
Online AccessGet full text
ISSN1645-6726
2183-0371
DOI10.57805/revstat.v17i4.276

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