Recent Advances and Trends in Nonparametric Statistics

Author/creator Akritas, Michael G. Editor Translator
Other author Politis, Dimitris N. Editor Translator
Format Electronic
Publication InfoJAI Press [Imprint] San Diego : Elsevier Science & Technology Books
Description522 p. ill 23.000 x 017.000 cm.
Supplemental ContentFull text available from eBook - Mathematics pre-2007
Subjects

Summary Annotation 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><br /><br />Key features:</p><p><br /><br />&bull; algorithic approaches<br />&bull; wavelets and nonlinear smoothers<br />&bull; graphical methods and data mining<br />&bull; biostatistics and bioinformatics<br />&bull; bagging and boosting<br />&bull; support vector machines<br />&bull; resampling methods<br /><br /></p>
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2003063069
ISBN9780444513786
ISBN0444513787 (Trade Cloth) Active Record
Standard identifier# 9780444513786
Stock number00991439

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