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बहुचर विधियाँ

15 विधियाँ इस परिवार में।

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बहुचर आँकड़ों में पंक्तियों और स्तंभों का एक साथ प्रदर्शन: बायप्लॉटA biplot is a low-dimensional graphical representation of a multivariate data matrix that simultaneously displays both the observations (rows) and the variables (columns) as pointsकैनोनिकल सहसंबंध विश्लेषणCanonical Correlation Analysis (CCA) is a multivariate statistical method that identifies pairs of linear combinations — one from each of two variable sets — such that the correlatCorrespondence AnalysisCorrespondence Analysis (CA) is an exploratory multivariate technique for visualizing the association structure of a two-way contingency table. Developed systematically by Jean-Pauविवेचक विश्लेषणDiscriminant 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 gरैखिक विभेदक विश्लेषण (LDALinear Discriminant Analysis (LDA) is a parametric supervised classification method that finds the linear combination of continuous predictors that best separates two or more predeसहप्रसरण का बहुचर विश्लेषण (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.

  1. बहुभिन्नरूपी प्रसरण विश्लेषण (MANOVA)1932by Samuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
  2. मल्टीडायमेंशनल स्केलिंग (MDS)1952–1964by Warren S. Torgerson (metric MDS, 1952); Joseph B. Kruskal (non-metric MDS, 1964)
  3. Correspondence Analysis1984by Jean-Paul Benzécri; Michael Greenacre
  4. रोबस्ट डिस्क्रिमिनेंट एनालिसिस1997by Hawkins & McLachlan (high-breakdown LDA); Croux & Dehon (S-estimator robust LDA)
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