Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis 22)

__A Strong Practical Focus on Applications and Algorithms__**Computational 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. __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. A Strong Practical Focus on Applications and Algorithms Computational 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. 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. Provides access to computational statistics by playing down theory and building an understanding of the algorithms used in a wide range of applications. This text recognizes the functionality of the MATLAB[registered] statistics toolbox. It includes a discussion of GUI functionality and coverage of topics such as support vector machines.