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On rotational ambiguity in model‐free analyses of multivariate data
Author(s) -
Vosough Maryam,
Mason Caroline,
Tauler Romà,
JalaliHeravi Mehdi,
Maeder Marcel
Publication year - 2006
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1022
Subject(s) - ambiguity , multivariate statistics , multivariate analysis , noise (video) , series (stratigraphy) , mathematics , computer science , statistics , econometrics , artificial intelligence , geology , paleontology , image (mathematics) , programming language
Rotational ambiguity is a central but not well investigated problem in all soft‐modelling analyses of multivariate data. A novel method which is based on Resolving Factor Analysis (RFA) is proposed. Completely general and exhaustive results are presented for the two‐component case. In particular the effects of noise and global analysis of series of measurements are investigated. Copyright © 2007 John Wiley & Sons, Ltd.