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Table of Contents
Multivariate normal and related distributions
Wishart distribution
Hotelling's T² and lambda statistics
Correlation coefficients
Asymptotic expansions from multivariate basic statistics
MANOVA models
Multivariate regression
Classical and high-dimensional tests for covariance matrices
Discriminant analysis
Principal component analysis
Canonical correlation analysis
Growth curve analysis
Approximation to the scale-mixted distributions
Approximation to some related distributions
Error bounds for approximations of multivariate tests
Error bounds for approximations to some other statistics
Appendix.
Wishart distribution
Hotelling's T² and lambda statistics
Correlation coefficients
Asymptotic expansions from multivariate basic statistics
MANOVA models
Multivariate regression
Classical and high-dimensional tests for covariance matrices
Discriminant analysis
Principal component analysis
Canonical correlation analysis
Growth curve analysis
Approximation to the scale-mixted distributions
Approximation to some related distributions
Error bounds for approximations of multivariate tests
Error bounds for approximations to some other statistics
Appendix.