Métodos multivariantes
15 métodos en esta familia.
Destacados
Biplot: Representación Simultánea de Filas y Columnas en Datos MultivariadosA biplot is a low-dimensional graphical representation of a multivariate data matrix that simultaneously displays both the observations (rows) and the variables (columns) as pointsAnálisis de Correlación CanónicaCanonical Correlation Analysis (CCA) is a multivariate statistical method that identifies pairs of linear combinations — one from each of two variable sets — such that the correlatAnálisis de CorrespondenciasCorrespondence Analysis (CA) is an exploratory multivariate technique for visualizing the association structure of a two-way contingency table. Developed systematically by Jean-PauAnálisis 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 gAnálisis Discriminante Lineal (LDALinear Discriminant Analysis (LDA) is a parametric supervised classification method that finds the linear combination of continuous predictors that best separates two or more predeAnálisis Multivariante de Covarianza (MANCOVA)MANCOVA (Multivariate Analysis of Covariance) is a parametric hypothesis test that simultaneously compares two or more groups on multiple continuous dependent variables while stati
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This topic's most-referenced foundational methods, in the order they were developed — a place to start if you're new here.
Todos los métodos 15
Biplot: Representación Simultánea de Filas y Columnas en Datos MultivariadosAnálisis de Correlación CanónicaAnálisis de CorrespondenciasAnálisis discriminanteAnálisis Discriminante Lineal (LDAAnálisis Multivariante de Covarianza (MANCOVA)Análisis Multivariante de la Varianza (MANOVA)Escalamiento multidimensional (MDS)Análisis de Correspondencias Múltiples (ACM)Análisis de Correlación Canónica Robusto (Robust CCA)Análisis de Correspondencias RobustoAnálisis Discriminante RobustoMANOVA robustaEscalamiento Multidimensional Robusto (Robust MDS)Análisis de Correspondencias Múltiples Robusto (Robust MCA)