9781466592735-1466592737-Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis)

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

ISBN-13: 9781466592735
ISBN-10: 1466592737
Edition: 3
Author: Wendy L. Martinez, Angel R. Martinez
Publication date: 2015
Publisher: Chapman and Hall/CRC
Format: Hardcover 731 pages
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Book details

ISBN-13: 9781466592735
ISBN-10: 1466592737
Edition: 3
Author: Wendy L. Martinez, Angel R. Martinez
Publication date: 2015
Publisher: Chapman and Hall/CRC
Format: Hardcover 731 pages

Summary

Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis) (ISBN-13: 9781466592735 and ISBN-10: 1466592737), written by authors Wendy L. Martinez, Angel R. Martinez, was published by Chapman and Hall/CRC in 2015. With an overall rating of 4.5 stars, it's a notable title among other Statistics (Education & Reference, Computer Science, Data Mining, Databases & Big Data, Mathematical & Statistical, Software, Crop Science, Agricultural Sciences) books. You can easily purchase or rent Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis) (Hardcover) from BooksRun, along with many other new and used Statistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.62.

Description

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.

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