Computational Statistics Handbook with MATLAB, Second Edition (Chapman & Hall/CRC Computer Science & Data Analysis) [Hardcover]

Wendy L. Martinez (Author), Angel R. Martinez (Author)

Book Description

ISBN-10: 1584885661 | ISBN-13: 978-1584885665 | Publication Date: December 20, 2007 | Edition: 2

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.

Product Details

• Hardcover: 792 pages
• Publisher: Chapman and Hall/CRC; 2 edition (December 20, 2007)
• Language: English
• ISBN-10: 1584885661
• ISBN-13: 978-1584885665
• Product Dimensions: 9.4 x 6.3 x 1.8 inches
• Shipping Weight: 2.6 pounds (View shipping rates and policies)
• Average Customer Review: 3.9 out of 5 stars  See all reviews (7 customer reviews)
• Amazon Best Sellers Rank: #70,725 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

15 of 15 people found the following review helpful:

4.0 out of 5 stars Good Book for me..., June 17, 2004

By 

R. Iyer (Buffalo, NY) - See all my reviews
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This review is from: Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis) (Hardcover)

There were a lot of negative comments for this book on Amazon so I sort of held off the purchase of this book. However, last week I ordered the book and quickly realised it is very useful. The book may lack detailed theory but excellent references are scattered throughout if you really want to follow it up. And the book is easy reading and well written with most statistical concepts defined before they are used.

The focus of this book primarily is to explain how to work on statistics using Matlab and it provides a taste of various areas with adequate explanations and code to get started. One advantage of this book is they do not define their own notation but use the notation which is currently in vogue in academia.

If you are starting out in Matlab, are not a statistician and do not have previous experience with other packages (like Splus or R) you should definetly think about getting a copy. If you are a Stats Guru you can just read the toolbox documentation. However note that these authors provide their additional stats toolbox FREE (which is also well written) on the website which contains most of Matlab statistical functions so you could save yourself some money on the Stats toolbox.

18 of 19 people found the following review helpful:

5.0 out of 5 stars Instantaneous Classic!, February 18, 2002

By 

J. Wrenholt (Lincoln, NE United States) - See all my reviews
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Amazon Verified Purchase

This review is from: Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis) (Hardcover)

As an independent student of probability and statistics this was a great find. You get a great overview of the useful algorithms of computational statistics. The chapter on Exploratory Data Analysis with its use of multidimensional graphing was very enlightening. It's wonderful that each topic is accompanied by source code (free on-line) that lets you see exactly how it's done. It's easy to tweak the code and explore your own data as you go along. You get just enough theory to understand the algorithm and lots of good common sense and rules-of-thumb on how to best apply it. Finally, the extensive bibliography and chapter-by-chapter annotations will point you straight to the best source for more in-depth study.

1 of 1 people found the following review helpful:

5.0 out of 5 stars One of the most important books, July 10, 2010

By 

W. Shareef (London, UK) - See all my reviews
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This review is from: Computational Statistics Handbook with MATLAB, Second Edition (Chapman & Hall/CRC Computer Science & Data Analysis) (Hardcover)

This book is amazing. It covers so many important computations using Matlab, including probability density estimation, supervised learning, parametric/non-parametric models as well as Markov Chain Monte Carlo methods.
The negative reviews are from people who were looking for something else in this book. As it stands this is one outstanding book and one of the few books I keep permanently on my desk (I own over 200 books). Credit to the writers for the amount of detail especially in the code (no mistakes found yet).