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

By: Martinez, Wendy LContributor(s): Martinez, Angel RMaterial type: TextTextLanguage: 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 Date due Barcode Item holds
E-Book E-Book Dr. S. R. Lasker Library, EWU
E-book 		Non-fiction 519.50285 MAC (Browse shelf(Opens below)) Not For Loan
Text 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 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.

AS

Tahur Ahmed

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