Wendy L. Martinez, Angel R. Martinez
December 20, 2007
by Chapman and Hall/CRC
Textbook - 792 Pages - 211 B/W Illustrations
ISBN 9781584885665 - CAT# C5661
Series: Chapman & Hall/CRC Computer Science & Data Analysis
For Instructors Request an e-inspection copy
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.
". . . primarily useful as a reference where one can look to get a concise description of a statistical methodology and MATLAB code that can be used to implement it . . . the book is excellent."
– Michael J. Evans, in Mathematical Reviews, 2009e
"…My own brief assessment of the book leaves me impressed with the number of subjects covered … the book can be a valuable reference to practicing statisticians (or statistical researchers) using MATLAB as their computing engines."
—Biometrics, March 2009
Praise for the First Edition
“…this book is perfectly appropriate as a textbook for an introductory course on computational statistics. It covers many useful topics, which in combination with the well-documented code, make the underlying concepts easy to grasp by the students. … Overall, this is a very nice book to be used in an undergraduate- or masters-level computational statistics course. It would also prove useful to researchers in other fields that want to learn and implement quickly some advanced statistical techniques.”
—Journal of Statistical Software, July 2004, Vol. 11
“I am pleased to see the publication of a comprehensive book related to computational statistics and MATLAB. … this book is ambitious and well written. As a long-time user of MATLAB, I find this book useful as a reference, and thus recommend it highly to statisticians who use MATLAB. The book also would be very useful to engineers and scientists who are well trained in statistics.”
—Journal of the American Statistical Association, June 2004, Vol. 99, No. 466
|March 02, 2009||click on http://www.pi-sigma.info/CS2E.htm|
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