ROBUST METHODS FOR MULTIVARIATE-ANALYSIS - A TUTORIAL REVIEW

Authors
LIANG YZ KVALHEIM OM
Citation
Yz. Liang et Om. Kvalheim, ROBUST METHODS FOR MULTIVARIATE-ANALYSIS - A TUTORIAL REVIEW, Chemometrics and intelligent laboratory systems, 32(1), 1996, pp. 1-10
Citations number
43
Categorie Soggetti
Computer Application, Chemistry & Engineering","Instument & Instrumentation","Chemistry Analytical","Computer Science Artificial Intelligence","Robotics & Automatic Control
Journal title
Chemometrics and intelligent laboratory systems → ACNP
ISSN journal
01697439
Volume
32
Issue
1
Year of publication
1996
Pages
1 - 10
Database
ISI
SICI code
0169-7439(1996)32:1<1:RMFM-A>2.0.ZU;2-B
Abstract
Robust methods developed in statistics and chemometrics for multivaria te calibration and exploratory analysis are reviewed. Robust methods c an be classified according to aim: (i) regression methods, (ii) method s for outlier detection (diagnostics), and (iii) methods for dimension ality reduction (exploratory analysis). Based on this taxonomy, some o f the methods are described in detail and illustrated with examples.