applied multivariate statistical analysis

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CONTENTS I. GETTING STARTED. 1. Aspects of Multivariate Analysis. 2. Matrix Algebra and Random Vectors. 3. Sample Geometry and Random Sampling. 4. The Multivariate Normal Distribution. II. INFERENCES ABOUT MULTIVARIATE MEANS AND LINEAR MODELS. 5. Inferences About a Mean Vector. 6. Comparisons of Se

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