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Principal Component Analysis

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Cover of 'Principal Component Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Mathematical and Statistical Properties of Population Principal Components
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    Chapter 3 Mathematical and Statistical Properties of Sample Principal Components
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    Chapter 4 Principal Components as a Small Number of Interpretable Variables: Some Examples
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    Chapter 5 Graphical Representation of Data Using Principal Components
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    Chapter 6 Choosing a Subset of Principal Components or Variables
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    Chapter 7 Principal Component Analysis and Factor Analysis
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    Chapter 8 Principal Components in Regression Analysis
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    Chapter 9 Principal Components Used with Other Multivariate Techniques
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    Chapter 10 Outlier Detection, Influential Observations, Stability, Sensitivity, and Robust Estimation of Principal Components
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    Chapter 11 Rotation and Interpretation of Principal Components
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    Chapter 12 Principal Component Analysis for Time Series and Other Non-Independent Data
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    Chapter 13 Principal Component Analysis for Special Types of Data
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    Chapter 14 Generalizations and Adaptations of Principal Component Analysis
Attention for Chapter 10: Outlier Detection, Influential Observations, Stability, Sensitivity, and Robust Estimation of Principal Components
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