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Computational Statistics Handbook with MATLAB, Second Edition

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Computational Statistics Handbook with MATLAB, Second Edition Cover

 

Synopses & Reviews

Publisher Comments:

As with the bestselling first edition, Computational Statistics Handbook with MATLAB, Second Edition covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of the algorithms in data analysis. Updated for MATLAB R2007a and the Statistics Toolbox, Version 6.0, this edition incorporates many additional computational statistics topics.

New to the Second Edition

New functions for multivariate normal and multivariate t distributions

Updated information on the new MATLAB functionality for univariate and bivariate histograms, glyphs, and parallel coordinate plots

New content on independent component analysis, nonlinear dimensionality reduction, and multidimensional scaling

New topics on linear classifiers, quadratic classifiers, and voting methods, such as bagging, boosting, and random forests

More methods for unsupervised learning, including model-based clustering and techniques for assessing the results of clustering

A new chapter on parametric models that covers spline regression models, logistic regression, and generalized linear models

Expanded information on smoothers, such as bin smoothing, running mean and line smoothers, and smoothing splines

With numerous problems and suggestions for further reading, this accessible text facilitates an understanding of computational statistics concepts and how they are employed in data analysis.

Book News Annotation:

The second edition of this text has been updated to reflect changes implemented for MATLAB R2007a and the Statistics Toolbox, Version 6.0. Among the new topics are new functions for multivariate normal and multivariate t distributions; MATLAB's new functionality for univariate and bivariate histograms, glyphs, and parallel coordinate plots; a new chapter on parametric models; and the expansion of the chapter on nonparametric regression to include information on more smoothers and additive models. Throughout the text, theory is kept at a minimum, with the focus on practical applications. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

As with the bestselling first edition, this text covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of the algorithms in data analysis. They offer all MATLAB(R) code, example files, and data sets available for download online. Updated for MATLAB R2007a and the Statistics Toolbox, Version 6.0, this edition incorporates many additional computational statistics topics, including multivariate distributions, classifiers, clustering, parametric models, and smoothers.

Synopsis:

As with the bestselling first edition, this text covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of the algorithms in data analysis. They offer all MATLAB sup ?? /sup code, example files, and data sets available for download online. Updated for MATLAB R2007a and the Statistics Toolbox, Version 6.0, this edition incorporates many additional computational statistics topics, including multivariate distributions, classifiers, clustering, parametric models, and smoothers.

Product Details

ISBN:
9781584885665
Author:
Martinez, Wendy L.
Publisher:
Academic Internet Publishers
Author:
Cram101 Textbook Reviews
Author:
Martinez, Martinez L.
Author:
Martinez, Angel R.
Subject:
Mathematical statistics
Subject:
Data processing
Subject:
Probability & Statistics - General
Subject:
Mathematical statistics -- Data processing.
Subject:
Mathematics | Probability and Statistics
Subject:
Education-General
Copyright:
Edition Number:
2
Series:
Chapman & Hall/CRC Computer Science & Data Analysis
Series Volume:
08
Publication Date:
20071231
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
767
Dimensions:
9.42x6.48x1.83 in. 2.64 lbs.

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Computational Statistics Handbook with MATLAB, Second Edition New Hardcover
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Product details 767 pages Chapman & Hall/CRC - English 9781584885665 Reviews:
"Synopsis" by , As with the bestselling first edition, this text covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of the algorithms in data analysis. They offer all MATLAB(R) code, example files, and data sets available for download online. Updated for MATLAB R2007a and the Statistics Toolbox, Version 6.0, this edition incorporates many additional computational statistics topics, including multivariate distributions, classifiers, clustering, parametric models, and smoothers.
"Synopsis" by , As with the bestselling first edition, this text covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of the algorithms in data analysis. They offer all MATLAB sup ?? /sup code, example files, and data sets available for download online. Updated for MATLAB R2007a and the Statistics Toolbox, Version 6.0, this edition incorporates many additional computational statistics topics, including multivariate distributions, classifiers, clustering, parametric models, and smoothers.
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