Computational statistics handbook with MATLAB /

Martinez, Wendy L.

Computational statistics handbook with MATLAB / Wendy L. Martinez, Angel R. Martinez. - 2nd ed. - Boca Raton, FL : Chapman & Hall/CRC, c2008. - xxiii, 767 p. : ill. ; 25 cm. - Chapman & Hall/CRC computer science and data analysis series . - Series in computer science and data analysis. .

Includes bibliographical references (p. 731-750) and indexes.

Introduction --
Probability concepts --
Sampling concepts --
Generating random variables --
Exploratory data analysis --
Finding structure --
Monte Carlo methods for inferential statistics --
Data partitioning --
Probability density estimation --
Supervised learning --
Unsupervised learning --
Parametric models --
Nonparametric models --
Markov chain Monte Carlo methods --
Spatial statistics --
Appendix A : Introduction to MATLABĀ® --
Appendix B : Projection pursuit indexes --
Appendix C : MATLABĀ® statistics toolbox --
Appendix D : Computational statistics toolbox --
Appendix E : Exploratory data analysis toolboxes --
Appendix F : Data sets --
Appendix G : Notation. TOC

Summary:
As with the bestselling first edition, "Computational Statistics Handbook with MATLAB" makes 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[registered] statistics toolbox and other updates like the new plotting capabilities of version 7.0. It includes a discussion of GUI functionality and expanded coverage of topics such as support vector machines, bagging, boosting, and random forests in pattern recognition. The text also features updated and new problem sets, data sets, exercises, and an appendix containing answers to selected problems.



9781584885665 (alk. paper) 1584885661 (alk. paper)

2007031426


Mathematical statistics--Data processing.

QA276.4 / .M269 2008

519.50285 / MAC

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