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EnglishCompositional data is commonly present in many disciplines. Nevertheless, it is often improperly incorporated into statistical modelling and a misleading interpretation of the results is given. This paper explains how partial least squares for discrimination is an adequate technique for compositional data when a dimensional reduction of original variables is needed and defines the variables that more influence the discrimination between the observations is the goal.
http://hdl.handle.net/11574/40227| Titolo: | Discriminant Partial Least Squares analysis on compositional data |
| Autori interni: | GALLO, Michele |
| Data di pubblicazione: | 2010 |
| Rivista: | STATISTICAL MODELLING |
| Abstract: | Compositional data is commonly present in many disciplines. Nevertheless, it is often improperly incorporated into statistical modelling and a misleading interpretation of the results is given. This paper explains how partial least squares for discrimination is an adequate technique for compositional data when a dimensional reduction of original variables is needed and defines the variables that more influence the discrimination between the observations is the goal. |
| Handle: | http://hdl.handle.net/11574/40227 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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| File | Descrizione | Dimensione | Formato | Tipologia | Licenza | |
|---|---|---|---|---|---|---|
| StatModelling2010.pdf | 387.83 kB | Adobe PDF | Post-print | DRM non definito | Utenti riconosciuti Richiedi una copia |
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