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Applied Multivariate Statistical Analysis

Overview of attention for book
Cover of 'Applied Multivariate Statistical Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Comparison of Batches
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    Chapter 2 A Short Excursion into Matrix Algebra
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    Chapter 3 Moving to Higher Dimensions
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    Chapter 4 Multivariate Distributions
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    Chapter 5 Theory of the Multinormal
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    Chapter 6 Theory of Estimation
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    Chapter 7 Hypothesis Testing
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    Chapter 8 Regression Models
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    Chapter 9 Variable Selection
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    Chapter 10 Decomposition of Data Matrices by Factors
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    Chapter 11 Principal Components Analysis
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    Chapter 12 Factor Analysis
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    Chapter 13 Cluster Analysis
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    Chapter 14 Discriminant Analysis
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    Chapter 15 Correspondence Analysis
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    Chapter 16 Canonical Correlation Analysis
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    Chapter 17 Multidimensional Scaling
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    Chapter 18 Conjoint Measurement Analysis
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    Chapter 19 Applications in Finance
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    Chapter 20 Computationally Intensive Techniques
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    Chapter 21 Symbols and Notations
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    Chapter 22 Data
Attention for Chapter 14: Discriminant Analysis
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