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Computational statistics handbook wi...
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Martinez, Wendy L.
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Computational statistics handbook with MATLAB /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Computational statistics handbook with MATLAB // Wendy L. Martinez, Angel R. Martinez.
作者:
Martinez, Wendy L.
其他作者:
Martinez, Angel R.
出版者:
Boca Raton, FL :Chapman & Hall/CRC, : c2008.,
面頁冊數:
xxiii, 767 p. :ill. ;25 cm.
標題:
Mathematical statistics - Data processing. -
ISBN:
9781584885665 (hbk.) :
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 --
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.
ISBN: 9781584885665 (hbk.) :UK59.99Subjects--Uniform Titles:
MATLAB.
Subjects--Topical Terms:
532521
Mathematical statistics
--Data processing.
LC Class. No.: QA276.4 / .M269 2008
Dewey Class. No.: 519.50285
Computational statistics handbook with MATLAB /
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Introduction --
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Probability concepts --
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Sampling concepts --
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Generating random variables --
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Exploratory data analysis --
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Finding structure --
$t
Monte Carlo methods for inferential statistics --
$t
Data partitioning --
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Probability density estimation --
$t
Supervised learning --
$t
Unsupervised learning --
$t
Parametric models --
$t
Nonparametric models --
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Markov chain Monte Carlo methods --
$t
Spatial statistics --
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Appendix A: Introduction to MATLABª --
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Appendix B: Projection pursuit indexes --
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Appendix C: MATLABª statistics toolbox --
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Appendix D: Computational statistics toolbox --
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Appendix E: Exploratory data analysis toolboxes --
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Appendix F: Data sets --
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Appendix G: Notation.
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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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