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Applied Multivariate Statistical Analysis

Overview of attention for book
Applied Multivariate Statistical Analysis
Springer Berlin Heidelberg

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 Decomposition of Data Matrices by Factors
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    Chapter 9 Principal Components Analysis
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    Chapter 10 Factor Analysis
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    Chapter 11 Cluster Analysis
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    Chapter 12 Discriminant Analysis
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    Chapter 13 Correspondence Analysis
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    Chapter 14 Canonical Correlation Analysis
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    Chapter 15 Multidimensional Scaling
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    Chapter 16 Conjoint Measurement Analysis
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    Chapter 17 Applications in Finance
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    Chapter 18 Highly Interactive, Computationally Intensive Techniques
Attention for Chapter 9: Principal Components Analysis
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