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Computational statistics

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Cover of 'Computational statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Mathematical and Statistical Preliminaries
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    Chapter 2 Computer Storage and Arithmetic
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    Chapter 3 Algorithms and Programming
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    Chapter 4 Approximation of Functions and Numerical Quadrature
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    Chapter 5 Numerical Linear Algebra
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    Chapter 6 Solution of Nonlinear Equations and Optimization
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    Chapter 7 Generation of Random Numbers
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    Chapter 8 Graphical Methods in Computational Statistics
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    Chapter 9 Tools for Identification of Structure in Data
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    Chapter 10 Estimation of Functions
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    Chapter 11 Monte Carlo Methods for Statistical Inference
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    Chapter 12 Data Randomization, Partitioning, and Augmentation
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    Chapter 13 Bootstrap Methods
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    Chapter 14 Estimation of Probability Density Functions Using Parametric Models
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    Chapter 15 Nonparametric Estimation of Probability Density Functions
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    Chapter 16 Statistical Learning and Data Mining
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    Chapter 17 Statistical Models of Dependencies
Attention for Chapter 14: Estimation of Probability Density Functions Using Parametric Models
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