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Modern Multivariate Statistical Techniques

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Cover of 'Modern Multivariate Statistical Techniques'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction and Preview
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    Chapter 2 Data and Databases
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    Chapter 3 Random Vectors and Matrices
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    Chapter 4 Nonparametric Density Estimation
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    Chapter 5 Model Assessment and Selection in Multiple Regression
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    Chapter 6 Multivariate Regression
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    Chapter 7 Linear Dimensionality Reduction
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    Chapter 8 Linear Discriminant Analysis
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    Chapter 9 Recursive Partitioning and Tree-Based Methods
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    Chapter 10 Artificial Neural Networks
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    Chapter 11 Support Vector Machines
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    Chapter 12 Cluster Analysis
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    Chapter 13 Multidimensional Scaling and Distance Geometry
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    Chapter 14 Committee Machines
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    Chapter 15 Latent Variable Models for Blind Source Separation
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    Chapter 16 Nonlinear Dimensionality Reduction and Manifold Learning
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    Chapter 17 Correspondence Analysis
Attention for Chapter 9: Recursive Partitioning and Tree-Based Methods
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