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Message from Dean - May 8th 2007
I am currently testing out a new version of the APF Bridge Component - If you notice any errors within this demo store please drop me a line.
List Price: $99.95Amazon.com's Price: $92.33 You Save: $7.62 ( 8%)Prices subject to change.
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Binding: Hardcover
Dewey Decimal Number: 519.50285
EAN: 9781584882299
Edition: 1
ISBN: 1584882298
Label: Chapman & Hall/CRC
Manufacturer: Chapman & Hall/CRC
Number Of Items: 1
Number Of Pages: 616
Publication Date: September 26, 2001
Publisher: Chapman & Hall/CRC
Studio: Chapman & Hall/CRC
Alternate Versions: Click to Display
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Editorial Review:
Product Description:
Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice with computational software.Focusing on the computational aspects of statistics rather than the theoretical, Computational Statistics Handbook with MATLAB uses a down-to-earth approach that makes statistics accessible to a wide range of users. The authors integrate the use of MATLAB throughout the book, allowing readers to see the actual implementation of algorithms, but also include step-by-step procedures to allow implementation with any suitable software. The book concentrates on the simulation/Monte Carlo point of view, and contains algorithms for exploratory data analysis, modeling, Monte Carlo simulation, pattern recognition, bootstrap, classification, cross-validation methods, probability density estimation, random number generation, and other computational statistics methods.Emphasis on the practical aspects of statistics, details of the latest techniques, and real implementation experience make the Computational Statistics Handbook with MATLAB more than just the first book to use MATLAB to solve computational problems in statistics. It also forms an outstanding, introduction to statistics for anyone in the many disciplines that involve data analysis.
Average Rating: 
Rating:  -
I was initially excited about this title. It seemed like an opportunity to develop some advanced techniques and learn them interactively with Matlab. Unfortuantely, I was disappointed upon reading the book. The topics themselves are not developed well by the authors and the Matlab examples are way too simple for them to be of any use or for the reader to gain insight. The material itself is somewhat eclectic, but for the price/value I just can't see it. A determinted researcher could find the same thing for free on the internet.
Rating:  -
Up to the point - great to have on the shelf for quick consultations. It makes a great textbook to be complemented with specialized papers on the different topics. A must have for anyone doing computational Statistics in Matlab. "Exploratory Data Analysis with MATLAB" by Wendy L. Martinez, Angel R. Martinez is a great follow up volume to this book.
Rating:  -
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 ... Read More
Rating:  -
I ordered this book assuming to get something useful, but i got the impression while reading the book that it is like a collection of notes from other books, wrapped with some matlab code. More worrying to me was that the mathematics makes a sloppy impression. For me that means I cannot grab the book to lookup something and use the code without having to be concerned on the validity. The bottomline being I will not use it for applications and the book is a waste of money.
Rating: -
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.
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