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

Wendy L. Martinez, Angel R. Martinez

ISBN 10: 1584885661 / ISBN 13: 9781584885665

Published by Taylor & Francis, 2007

About this Item

Neu Neuware, Importqualität, auf Lager, Sofortversand - The authors make computational statistics as accessible as possible by playing down theory and building an understanding of the algorithms used in a wide range of applications. This second edition recognizes the new functionality of the MATLAB statistics toolbox and other updates like the new plotting capabilities of Version 7.0.

Seller Inventory # INF1000242470

Bibliographic Details

• Title: Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis)
• Publisher: Taylor & Francis
• Publication Date: 2007
• Language: English
• ISBN 10: 1584885661
• ISBN 13: 9781584885665
• Binding: Gebundene Ausgabe
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 244W x 167H x 50D millimeters 244 millimeters width by 167 millimeters height by 50 millimeters depth
• Weight: 1226 grams

About this title

Synopsis

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.

Review

Praise for the First Edition
[T]his 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. ... [T]his 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