Permutation test as possible alternative to the commonly used cross-validation of samples for validating PCA results is suggested. The approach is then illustrated using two data-sets from consumer studies of apple and raspberry juice. Our findings show that internal validation provided by the permutation test is particularly advantageous when the data are complex as they are in the second case reported here.
Endrizzi, I.; Gasperi, F.; Rodbotten, M.; Naes, T. (2013). Permutation testing for validating PCA. In: Advances in Latent Variables: Methods, Models and Applications, Brescia, June 19–21, 2013. ISBN: 978-88-343-2556-8. url: http://meetings.sis-statistica.org/index.php/sis2013/ALV/paper/viewFile/2632/409 handle: http://hdl.handle.net/10449/22414
Permutation testing for validating PCA
Endrizzi, Isabella;Gasperi, Flavia;
2013-01-01
Abstract
Permutation test as possible alternative to the commonly used cross-validation of samples for validating PCA results is suggested. The approach is then illustrated using two data-sets from consumer studies of apple and raspberry juice. Our findings show that internal validation provided by the permutation test is particularly advantageous when the data are complex as they are in the second case reported here.
| File | Dimensione | Formato | |
|---|---|---|---|
|
2013 Endrizzi.pdf
accesso aperto
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
101.07 kB
Formato
Adobe PDF
|
101.07 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
