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Applied multivariate analysis

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Cover of 'Applied multivariate analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Vectors and Matrices
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    Chapter 3 Multivariate Distributions and the Linear Model
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    Chapter 4 Multivariate Regression Models
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    Chapter 5 Seemingly Unrelated Regression Models
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    Chapter 6 Multivariate Random and Mixed Models
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    Chapter 7 Discriminant and Classification Analysis
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    Chapter 8 Principal Component, Canonical Correlation, and Exploratory Factor Analysis
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    Chapter 9 Cluster Analysis and Multidimensional Scaling
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    Chapter 10 Structural Equation Models
Attention for Chapter 7: Discriminant and Classification Analysis
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