Computational Statistics Handbook with MATLAB, Third Edition [Hardcover]

A Strong Practical Focus on Applications and Algorithms
Computational Statistics Handbook with MATLAB^?, Third Editioncovers todays 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.

New to the Third Edition
This third edition is updated with the latest version of MATLAB and the corresponding version of the Statistics and Machine Learning Toolbox. It also incorporates new sections on the nearest neighbor classifier, support vector machines, model checking and regularization, partial least squares regression, and multivariate adaptive regression splines.

Web Resource
The authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of algorithms in data analysis. The MATLAB code, examples, and data sets are available online.

Introduction
What Is Computational Statistics?
An Overview of the Book

Probability Concepts
Introduction
Probability
Conditional Probability and Independence
Expectation
Common Distributions

Sampling Concepts
Introduction
Sampling Terminology and Concepts
Sampling Distributions
Parameter Estimation
Empirical Distribution Function

Generating Random Variables
Introduction
General Techniques for Generating Random Variables
Generating Continuous Random Variables
Generating Discrete Random Variables

Exploratory Data Analysis
Introduction
Exploring Univariate Data
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