方法证据记录
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Robust Correspondence Analysis
分类方法记录 · 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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