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Recent advances and trends in nonpar...

Akritas, Michael G.

Recent advances and trends in nonparametric statistics[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.5
書名/作者:	Recent advances and trends in nonparametric statistics/ edited by Michael G. Akritas, Dimitris N. Politis.
其他作者:	Akritas, Michael G.
出版者:	Amsterdam, The Netherlands ; : Elsevier,, 2003.
面頁冊數:	x, 512 p. : : ill. ;; 25 cm.
附註:	Includes bibliographical references and index.
標題:	Nonparametric statistics.
標題:	Statistique non param�etrique.
ISBN:	9780444513786
ISBN:	0444513787
書目註:	Includes bibliographical references and index.
摘要、提要註:	The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium. Key features: • algorithic approaches • wavelets and nonlinear smoothers • graphical methods and data mining • biostatistics and bioinformatics • bagging and boosting • support vector machines • resampling methods.
電子資源:	An electronic book accessible through the World Wide Web; click for information
電子資源:	http://www.loc.gov/catdir/enhancements/fy0615/2003063069-d.html

Recent advances and trends in nonparametric statistics[electronic resource] /
Recent advances and trends in nonparametric statistics[electronic resource] /edited by Michael G. Akritas, Dimitris N. Politis. - 1st ed. - Amsterdam, The Netherlands ;Elsevier,2003. - x, 512 p. :ill. ;25 cm.

Includes bibliographical references and index.

Includes bibliographical references and index.

The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium.<P> Key features:<P> • algorithic approaches • wavelets and nonlinear smoothers • graphical methods and data mining • biostatistics and bioinformatics • bagging and boosting • support vector machines • resampling methods.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.

Mode of access: World Wide Web.

ISBN: 9780444513786

Source: 121099:128989Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

405341
Nonparametric statistics.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: QA278.8 / .R43 2003eb

Dewey Class. No.: 519.5

Recent advances and trends in nonparametric statistics[electronic resource] /
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245 0 0 $a Recent advances and trends in nonparametric statistics $h [electronic resource] / $c edited by Michael G. Akritas, Dimitris N. Politis.
250 $a 1st ed.
260 $a Amsterdam, The Netherlands ; $a San Diego, CA : $b Elsevier, $c 2003.
300 $a x, 512 p. : $b ill. ; $c 25 cm.
500 $a Includes bibliographical references and index.
504 $a Includes bibliographical references and index.
520 $a The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium.<P> Key features:<P> • algorithic approaches • wavelets and nonlinear smoothers • graphical methods and data mining • biostatistics and bioinformatics • bagging and boosting • support vector machines • resampling methods.
533 $a Electronic reproduction. $b Amsterdam : $c Elsevier Science & Technology, $d 2007. $n Mode of access: World Wide Web. $n System requirements: Web browser. $n Title from title screen (viewed on July 25, 2007). $n Access may be restricted to users at subscribing institutions.
650 0 $a Nonparametric statistics. $3 405341
650 6 $a Statistique non param�etrique. $3 405342
655 7 $a Electronic books. $2 local $3 336502
700 1 $a Akritas, Michael G. $3 405339
700 1 $a Politis, Dimitris N. $3 405340
710 2 $a ScienceDirect (Online service) $3 365609
776 1 $c Original $z 0444513787 $z 9780444513786 $w (DLC) 2003063069 $w (OCoLC)52920779
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780444513786 $z An electronic book accessible through the World Wide Web; click for information
856 4 2 $3 Publisher description $u http://www.loc.gov/catdir/enhancements/fy0615/2003063069-d.html
994 $a C0 $b TEF

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