Detalle de: On rotational ambiguity in model‐free analyses of multivariate data
| Title | On rotational ambiguity in model‐free analyses of multivariate data |
| Abstract |
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. |
| Apa Reference | Vosough, M., Mason, C., Tauler, R., Jalali‐Heravi, M. & Maeder, M. (2006). On rotational ambiguity in model‐free analyses of multivariate data. Journal of Chemometrics, 20(6-7), 302-310. 10.1002/cem.1022 |
| Doi | 10.1002/cem.1022 |
| Publication Date | Jun 2006 |
| Publication Type | Article |
| Researcher | Romá Tauler |
| Ontology | Multivariate statistics |
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