Description
Book SynopsisIn this volume, Srivastava examines both random variables that can be quantitatively measured as well as the latest multivariate methods. Most of the methods presented assume that the data has a normal distribution and that there are no outliers.
Trade Review"...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)
Table of ContentsAbbreviations 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.
