Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional de Colombia
2004
|
| Subjects: | |
| Online Access: | https://www.redalyc.org/articulo.oa?id=89927101 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Multiple Factor Analysis: Main Features and Application to Sensory Data Jérôme Pagès Física, Astronomía y Matemáticas Factor analysis Canonical analysis Principal components analysis Data table in which a single set of individuals is described by severalgroups of variables are frequently encountered. In the factor analysisframework, taking into account di®erent groups of variables in a uniqueanalysis ¯rstly raises the problem of balancing the di®erent group. Thisproblem being solved, beyond classical outputs from factor analysis, itis necessary to have at ones disposal speci¯c tools in order to comparethe structure upon individuals induced by the di®erent groups of vari-ables. That is the aim of Multiple Factor Analysis (MFA), factor analysisdevoted to such data table. This paper presents the method, its mainproperties and an application to sensory data. 2004 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89927101 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.27