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A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB®, Third Edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps theoretical concepts to a minimum, emphasizing the implementation of the methods.;Front Cover -- Dedication -- Table of Contents -- Preface to the Third Edition -- 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 -- Appendix A: MATLAB® Basics -- Appendix B: Projection Pursuit Indexes -- Appendix C: Data Sets -- Appendix D: Notation -- References -- Back Cover.
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