Zapis dokaza metode

Robust Correspondence Analysis

Robust Correspondence Analysis (RCA) extends classical correspondence analysis to contingency tables that contain outlying rows or columns. By replacing the standard singular value decomposition with a robust alternative, RCA produces biplots and coordinate maps that accurately reflect the dominant association structure even when atypical cells or categories exert undue influence on the standard solution.

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Izvorni zapis

Citati kopirani doslovno iz izvornog zapisa metode. Ne impliciraju nikakvu provjeru na razini tvrdnje.

Taksonomski zapis metode · latent-structure / statistics

Croux, C. & Ruiz-Gazen, A. (2005). High breakdown estimators for principal components: the projection-pursuit approach revisited. Journal of Multivariate Analysis, 95(1), 206–226. · DOI 10.1016/j.jmva.2004.08.002
Greenacre, M. (2017). Correspondence Analysis in Practice (3rd ed.). CRC Press / Chapman & Hall. · ISBN 978-1498731775

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Uređene tvrdnje

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Povezane metode

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Same method familyCorrespondence Analysismachine-suggested · Relational suggestion, not evidence.Same method familyMultiple Correspondence Analysismachine-suggested · Relational suggestion, not evidence.Same method familyRobust Exploratory Factor Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Multidimensional Scalingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Multiple Correspondence Analysismachine-suggested · Relational suggestion, not evidence.