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Gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications.
The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor analysis, clustering, dou
Robust Multivariate Analysis
Methodology in Robust and Nonparametric Statistics
Robust Nonparametric Statistical Methods
Robust and Multivariate Statistical Methods
Robust Correlation
Robust Statistics for Signal Processing
Robust Statistics
Guide to Robust Statistical Methods
Robustness Theory and Application
Robust Statistics
Robust Statistical Methods with R, Second Edition
Introduction to Robust Estimation and Hypothesis Testing