Computational Statistics Handbook with MATLAB, Third Edition

Computational Statistics Handbook with MATLAB, Third Edition

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A Strong Practical Focus on Applications and Algorithms Computational Statistics Handbook with MATLABAr, Third Edition covers todaya€™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.TABLE 10.2 Computational Statistics Toolbox Functions Purpose MATLAB Function Statistical pattern recognition using ... This second edition contains many new topics, examples, and pseudo-code. ... Fukunaga [1990] is at the same level and includes similar subjects; however, it goes into more detail on the feature extraction aspects of pattern recognition. ... This text provides algorithms for building classification trees using ordered or categorical data, mixtures of data types, andanbsp;...

Title:Computational Statistics Handbook with MATLAB, Third Edition
Author: Wendy L. Martinez, Angel R. Martinez
Publisher:CRC Press - 2015-12-16

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