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Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics)
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics)
Customer reviews (9)
Five Stars
Book arrived perfectly..
An excellent introduction to what should be standard statistical methods throughout ...
An excellent introduction to what should be standard statistical methods throughout the social, behavioral, cognitive and other sciences.
Very nice book
This is a comprehensive volume on multivariate statistical analysis.
a truly modern treatment of multivariate analysis
Traditional graduate level texts such as Ted Anderson's focus on the multivariate normal distribution and its statistical properties.
Know what you're getting
Another reviewer compared this book to Bishop's PRML, and the analogy is a good one.
Nice material or PhD students
Good observation of modern approaches for classification and clustering problems.
Good book - For Statistics majors
This is not Johnson and Wichern or TW Anderson - Think Bishop or Hastie, Tibshirani and Friedman .
nice reference
This book not only covers very wide ranges about ststistical learning but also has very deep discriptions in some topics.
A great step forward in the way we look at multivariate data
This book surprised me.