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.
This third edition is updated with the latest version of MATLAB and the
corresponding version of the Statistics and Machine Learning Tool-
box. It also incorporates new sections on the nearest neighbor clas-
sier, support vector machines, model checking and regularization,
partial least squares regression, and multivariate adaptive regression
splines.
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.
Features
• Presents MATLAB code for various algorithms
• Uses the authors’ freely available Computational Statistics
Toolbox for MATLAB
• Introduces the basic functions of MATLAB for readers unfamiliar
with the software
• Incorporates theory only when it offers insight for data analysis
• Supplies pseudocode so readers can implement algorithms using
other software packages
• Contains exercises and further reading at the end of each
chapter
K20578
www.crcpress.com
Computational
Statistics
Handbook with
MATLAB
®
Third Edition
Computational Statistics Handbook with MATLAB
®
Wendy L. Martinez
Angel R. Martinez
Martinez
Martinez
Computer Science and Data Analysis Series Computer Science and Data Analysis Series
Statistics
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