Monimuuttujamenetelmät
15 menetelmää tässä perheessä.
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Biplot: Monimuuttujadatan rivien ja sarakkeiden samanaikainen esitysA biplot is a low-dimensional graphical representation of a multivariate data matrix that simultaneously displays both the observations (rows) and the variables (columns) as pointsKanoninen korrelaatioanalyysiCanonical Correlation Analysis (CCA) is a multivariate statistical method that identifies pairs of linear combinations — one from each of two variable sets — such that the correlatKorrespondenssianalyysiCorrespondence Analysis (CA) is an exploratory multivariate technique for visualizing the association structure of a two-way contingency table. Developed systematically by Jean-PauDiskriminanssianalyysiDiscriminant 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 gLineaarinen erotteluanalyysi (LDALinear Discriminant Analysis (LDA) is a parametric supervised classification method that finds the linear combination of continuous predictors that best separates two or more predeMonimuuttujainen kovarianssianalyysi (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.
Kaikki menetelmät 15
Biplot: Monimuuttujadatan rivien ja sarakkeiden samanaikainen esitysKanoninen korrelaatioanalyysiKorrespondenssianalyysiDiskriminanssianalyysiLineaarinen erotteluanalyysi (LDAMonimuuttujainen kovarianssianalyysi (MANCOVA)Monimuuttuja-analyysi varianssille (MANOVA)Monimuuttujamittakaava-analyysi (MDS)Monimuuttujamallinnus (MCA)Vankka kanoninen korrelaatioanalyysi (Robust CCA)Robusti KorrespondenssianalyysiRobustti erotteluanalyysiRobust MANOVARobust Multidimensionaalinen skaalaus (Robust MDS)Robust Multiple Correspondence Analysis (Robust MCA)