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Methods of Multivariate Statistics
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Table of Contents

Abbreviations and Notations. Preface. Multivariate Methods: An Overview. Multivariate Normal Distributions. Outliers Detection and Normality Check. Inference on Location--Hotelling's T2. Repeated Measures. Multivariate Analysis of Variance. Profile Analysis. Classification and Discrimination. Multivariate Regression. Growth Curve Models. Principal Component Analysis. Factor Analysis. Inference on Covariance Matrices. Correlations. Missing Observations: General Case. Missing Observations: Monotone Sample. Bootstrapping. Imputting Missing Data. Some Results on Matrices. Tables. Bibliography.

About the Author

MUNI SHANKER SRIVASTAVA, PhD, is a Professor in the Department of Statistics at the University of Toronto. He is an Elected Member of the International Statistics Institute, a Fellow of the Institute of Mathematical Statistics, a Fellow of the Royal Statistical Society, and a Fellow of the American Statistical Association.

Reviews

"...an excellent book...one of the best references for its level." (Technometrics, Vol. 45, No. 1, February 2003) "...a very useful, well-written, and interesting book...an excellent book; highly recommended." (Choice, Vol. 40, No. 5, January 2003)

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