Title of article
Robust principal components regression as a detection tool for outliers
Author/Authors
Walczak، نويسنده , , B. and Massart، نويسنده , , D.L.، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 1995
Pages
14
From page
41
To page
54
Abstract
Robust principal components regression procedure based on the ellipsoidal multivariate trimming (MVT) and the least median of squares (LMS) methods is proposed as an outlier detection tool. The performance of this approach was evaluated using simulated data randomly contaminated.
Journal title
Chemometrics and Intelligent Laboratory Systems
Serial Year
1995
Journal title
Chemometrics and Intelligent Laboratory Systems
Record number
1459274
Link To Document