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Méthodes multivariées

15 méthodes dans cette famille.

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BiplotA biplot is a low-dimensional graphical representation of a multivariate data matrix that simultaneously displays both the observations (rows) and the variables (columns) as pointsAnalyse canonique des corrélationsCanonical Correlation Analysis (CCA) is a multivariate statistical method that identifies pairs of linear combinations — one from each of two variable sets — such that the correlatAnalyse des CorrespondancesCorrespondence Analysis (CA) is an exploratory multivariate technique for visualizing the association structure of a two-way contingency table. Developed systematically by Jean-PauAnalyse discriminanteDiscriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the gAnalyse Discriminante Linéaire (ADLLinear Discriminant Analysis (LDA) is a parametric supervised classification method that finds the linear combination of continuous predictors that best separates two or more predeMANCOVA (Analyse Multivariée de la Covariance)MANCOVA (Multivariate Analysis of Covariance) is a parametric hypothesis test that simultaneously compares two or more groups on multiple continuous dependent variables while stati

Parcours de lecture

Les méthodes fondamentales les plus citées de ce thème, dans l'ordre de leur développement — un point de départ si vous débutez ici.

  1. Analyse de la variance multivariée (MANOVA)1932par Samuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
  2. Analyse canonique des corrélations1936par Harold Hotelling
  3. Analyse discriminante1936par Ronald A. Fisher
  4. L'Échelle multidimensionnelle (MDS)1952–1964par Warren S. Torgerson (metric MDS, 1952); Joseph B. Kruskal (non-metric MDS, 1964)
  5. Biplot1971par Ruben Gabriel
  6. Analyse des Correspondances1984par Jean-Paul Benzécri; Michael Greenacre
  7. Analyse Discriminante Robuste1997par Hawkins & McLachlan (high-breakdown LDA); Croux & Dehon (S-estimator robust LDA)
  8. Analyse des Correspondances Multiples (ACM)2006par Greenacre & Blasius
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Toutes les méthodes 15

BiplotAnalyse canonique des corrélationsAnalyse des CorrespondancesAnalyse discriminanteAnalyse Discriminante Linéaire (ADLMANCOVA (Analyse Multivariée de la Covariance)Analyse de la variance multivariée (MANOVA)L'Échelle multidimensionnelle (MDS)Analyse des Correspondances Multiples (ACM)Analyse en composantes canoniques robuste (ACCR robuste)Analyse des correspondances robusteAnalyse Discriminante RobusteMANOVA robusteAnalyse Multidimensionnelle Robuste (MDS robuste)L'Analyse Factorielle des Correspondances Multiples Robuste (AFCMR)