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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
Guide to Robust Statistical Methods
Robust Statistics
Robustness Theory and Application
Robust Statistics
Introduction to Robust Estimation and Hypothesis Testing
Robust Statistical Methods with R, Second Edition
Robust Cluster Analysis and Variable Selection
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