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Elements of Computational Statistics

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Cover of 'Elements of Computational Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Preliminaries
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    Chapter 2 Monte Carlo Methods for Inference
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    Chapter 3 Randomization and Data Partitioning
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    Chapter 4 Bootstrap Methods
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    Chapter 5 Tools for Identification of Structure in Data
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    Chapter 6 Estimation of Functions
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    Chapter 7 Graphical Methods in Computational Statistics
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    Chapter 8 Estimation of Probability Density Functions Using Parametric Models
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    Chapter 9 Nonparametric Estimation of Probability Density Functions
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    Chapter 10 Structure in Data
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    Chapter 11 Statistical Models of Dependencies
Attention for Chapter 5: Tools for Identification of Structure in Data
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