Methods of Multivariate Statistics - Muni S Srivastava
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Présentation Methods Of Multivariate Statistics de Muni S Srivastava Format Relié
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Résumé : 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.
Abbreviations and Notations.
Biographie:
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.
Sommaire:
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....
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