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Matrix-Based Introduction to Multivariate Data Analysis

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Cover of 'Matrix-Based Introduction to Multivariate Data Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Elementary Matrix Operations
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    Chapter 2 Intravariable Statistics
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    Chapter 3 Inter-variable Statistics
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    Chapter 4 Regression Analysis
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    Chapter 5 Principal Component Analysis (Part 1)
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    Chapter 6 Principal Component Analysis (Part 2)
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    Chapter 7 Cluster Analysis
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    Chapter 8 Maximum Likelihood and Multivariate Normal Distribution
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    Chapter 9 Path Analysis
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    Chapter 10 Confirmatory Factor Analysis
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    Chapter 11 Structural Equation Modeling
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    Chapter 12 Exploratory Factor Analysis
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    Chapter 13 Rotation Techniques
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    Chapter 14 Canonical Correlation and Multiple Correspondence Analyses
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    Chapter 15 Discriminant Analysis
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    Chapter 16 Multidimensional Scaling
Attention for Chapter 16: Multidimensional Scaling
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