Multivariate metoder
15 metoder i denne familien.
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Biplot: Samtidig fremstilling av rader og kolonner i multivariat dataA biplot is a low-dimensional graphical representation of a multivariate data matrix that simultaneously displays both the observations (rows) and the variables (columns) as pointsKanonisk korrelasjonsanalyseCanonical Correlation Analysis (CCA) is a multivariate statistical method that identifies pairs of linear combinations — one from each of two variable sets — such that the correlatKorrespondanseanalyseCorrespondence Analysis (CA) is an exploratory multivariate technique for visualizing the association structure of a two-way contingency table. Developed systematically by Jean-PauDiskriminantanalyseDiscriminant 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 gLineær diskriminantanalyse (LDALinear Discriminant Analysis (LDA) is a parametric supervised classification method that finds the linear combination of continuous predictors that best separates two or more predeMultivariat kovariansanalyse (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.
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Biplot: Samtidig fremstilling av rader og kolonner i multivariat dataKanonisk korrelasjonsanalyseKorrespondanseanalyseDiskriminantanalyseLineær diskriminantanalyse (LDAMultivariat kovariansanalyse (MANCOVA)Multivariat variansanalyse (MANOVA)Multidimensional Scaling (MDS)Multivariat korrespondanseanalyse (MCA)Robust kanonisk korrelasjonsanalyse (Robust CCA)Robust Correspondence AnalysisRobust diskriminantanalyseRobust MANOVARobust Multidimensional Scaling (Robust MDS)Robust Multiple Correspondence Analysis (Robust MCA)