Randomization testing is a way of determing whether two variables are dependent or not. We study three-way data sets in the case that some variables are logical antecedent to the others by means of Principal Component Analysis with Instrumental Variables (PCAIV). We propose to investigate on the stability of the spaces and on the significance of the representations by randomly reordering the data matrices (Randomization Tests).
Estimation of the Stability of Constrained Factorial Analysis by Permutation Tests in Three-way data sets
AMENTA P;
1993-01-01
Abstract
Randomization testing is a way of determing whether two variables are dependent or not. We study three-way data sets in the case that some variables are logical antecedent to the others by means of Principal Component Analysis with Instrumental Variables (PCAIV). We propose to investigate on the stability of the spaces and on the significance of the representations by randomly reordering the data matrices (Randomization Tests).File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
ASMDA93 - Chaina.pdf
non disponibili
Licenza:
Non specificato
Dimensione
2.54 MB
Formato
Adobe PDF
|
2.54 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
