As with the bestselling first edition, Computational Statistics Handbook with MATLAB®, Second Edition covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of the algorithms in data analysis. Updated for MATLAB® R2007a and the Statistics Toolbox, Version 6.0, this edition incorporates many additional computational statistics topics.
Author(s): Wendy L. Martinez, Angel R. Martinez
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Edition: 2nd
Publisher: Chapman & Hall/CRC
Year: 2007
Language: English
Pages: 794
City: Hoboken
Tags: Библиотека;Компьютерная литература;Matlab / Simulink;
Content: Front cover
Table of Contents
Preface to the Second Edition
Preface to the First Edition
Chapter 1. Introduction
Chapter 2. Probability Concepts
Chapter 3. Sampling Concepts
Chapter 4. Generating Random Variables
Chapter 5. Exploratory Data Analysis
Chapter 6. Finding Structure
Chapter 7. Monte Carlo Methods for Inferential Statistics
Chapter 8. Data Partitioning
Chapter 9. Probability Density Estimation
Chapter 10. Supervised Learning
Chapter 11. Unsupervised Learning
Chapter 12. Parametric Models
Chapter 13. Nonparametric Models
Chapter 14. Markov Chain Monte Carlo Methods Chapter 15. Spatial StatisticsAppendix A: Introduction to MATLAB
Appendix B: Projection Pursuit Indexes
Appendix C: MATLAB Statistics Toolbox
Appendix D: Computational Statistics Toolbox
Appendix E: Exploratory Data Analysis Toolboxes
Appendix F: Data Sets
Appendix G: Notation
References
Author Index
Subject Index
Back cover
