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Recent advances and trends in nonpar...

Akritas, Michael G.

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Recent advances and trends in nonparametric statistics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/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. -
電子資源:	http://www.sciencedirect.com/science/book/9780444513786An 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
ISBN:	0444513787

Recent advances and trends in nonparametric statistics
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: 0444513787

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

533309
Nonparametric statistics.
Index Terms--Genre/Form:

542853
Electronic books.

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

Dewey Class. No.: 519.5

Recent advances and trends in nonparametric statistics
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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.
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