MULTIPLE FACTOR-ANALYSIS (AFMULT PACKAGE)

被引：397

作者：

ESCOFIER, B

PAGES, J

机构：

[1] IRISA,F-35042 RENNES,FRANCE

[2] IUT,F-56008 VANNES,FRANCE

[3] ENSA,F-35042 RENNES,FRANCE

来源：

COMPUTATIONAL STATISTICS & DATA ANALYSIS | 1994年 / 18卷 / 01期

关键词：

MULTIPLE FACTOR ANALYSIS; CANONICAL ANALYSIS; GROUPS OF VARIABLES; FACTOR ANALYSIS; PRINCIPAL COMPONENTS ANALYSIS; MULTIPLE CORRESPONDENCE ANALYSIS;

D O I：

10.1016/0167-9473(94)90135-X

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Multiple Factor Analysis (MFA) studies several groups of variables (numerical and/or categorical) defined on the same set of individuals. MFA approaches this kind of data according to many points of view already used in others methods as: factor analysis in which groups of variables are weighted, canonical analysis, Procrustes analysis, STATIS, INDSCAL. In MFA, these points of view are considered in a unique framework. This paper presents the different outputs provided by MFA and an example about sensory analysis of wines.

引用

页码：121 / 140

页数：20