Shrunken Estimators in Discriminant and Canonical Variate Analysis
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SUMMARY Shrunken estimators in canonical variate analysis are shown to lead to improved stability of the resulting coefficients when the between-groups sum of squares for a particular principal component defined by the within-groups covariance or correlation matrix is small and the corresponding eigenvalue is also small.
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