Fr. 76.00

Multiple Factor Analysis by Example Using R

Anglais · Livre de poche

Expédition généralement dans un délai de 3 à 5 semaines

Description

En savoir plus










Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of the methodology, this book brings together the theoretical and methodological aspects of MFA. It also covers principal component analysis


Table des matières

Principal Component Analysis. Multiple Correspondence Analysis. Factor Analysis for Mixed Data. Weighting Groups of Variables. Comparing Clouds of Partial Individuals. Factors Common to Different Groups of Variables. Comparing Groups of Variables and Indscal Model. Qualitative and Mixed Data. Multiple Factor Analysis and Procrustes Analysis. Hierarchical Multiple Factor Analysis. Matrix Calculus and Euclidean Vector Space. Bibliography.

A propos de l'auteur

Jérôme Pagès is a professor of statistics at Agrocampus (Rennes, France), where he heads the Laboratory of Applied Mathematics (LMA²).

Résumé

Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of the methodology, this book brings together the theoretical and methodological aspects of MFA. It also covers principal component analysis

Commentaires des clients

Aucune analyse n'a été rédigée sur cet article pour le moment. Sois le premier à donner ton avis et aide les autres utilisateurs à prendre leur décision d'achat.

Écris un commentaire

Super ou nul ? Donne ton propre avis.

Pour les messages à CeDe.ch, veuillez utiliser le formulaire de contact.

Il faut impérativement remplir les champs de saisie marqués d'une *.

En soumettant ce formulaire, tu acceptes notre déclaration de protection des données.