Computational statistics handbook with MATLAB / Wendy L. Martinez, Angel R. Martinez.

By: Martinez, Wendy L Contributor(s): Martinez, Angel R Material type: Text

TextLanguage: English Series: Series in computer science and data analysisPublication details: Boca Raton, FL : Chapman & Hall/CRC, c2008. Edition: 2nd edDescription: xxiii, 767 p. : ill. ; 25 cmISBN: 9781584885665 (alk. paper); 1584885661 (alk. paper)Subject(s): Mathematical statistics -- Data processingDDC classification: 519.50285 LOC classification: QA276.4 | .M269 2008Online resources: Table of contents only | WorldCat Details | Publisher description | E-book Fulltext

Contents:

TOC 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 MATLAB® -- Appendix B : Projection pursuit indexes -- Appendix C : MATLAB® statistics toolbox -- Appendix D : Computational statistics toolbox -- Appendix E : Exploratory data analysis toolboxes -- Appendix F : Data sets -- Appendix G : Notation.

Summary: 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.

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
E-Book	Dr. S. R. Lasker Library, EWU E-book	Non-fiction	519.50285 MAC (Browse shelf(Opens below))		Not For Loan
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	519.50285 MAC 2008 (Browse shelf(Opens below))	C-1	Not For Loan	25779
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	519.50285 MAC 2008 (Browse shelf(Opens below))	C-2	Not For Loan	26048

Total holds: 0

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

TOC 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 MATLAB® --
Appendix B : Projection pursuit indexes --
Appendix C : MATLAB® statistics toolbox --
Appendix D : Computational statistics toolbox --
Appendix E : Exploratory data analysis toolboxes --
Appendix F : Data sets --
Appendix G : Notation.

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.

Tahur Ahmed

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