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dc.contributor.authorAkritas, Michael G.en
dc.contributor.authorPolitis, Dimitris Nicolasen
dc.creatorAkritas, Michael G.en
dc.creatorPolitis, Dimitris Nicolasen
dc.description.abstractThe 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 mainstreamen
dc.description.abstractprime 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 approachesen
dc.description.abstractwavelets and nonlinear smoothersen
dc.description.abstractgraphical methods and data miningen
dc.description.abstractbiostatistics and bioinformaticsen
dc.description.abstractbagging and boostingen
dc.description.abstractsupport vector machinesen
dc.description.abstractresampling methods. © 2003 Elsevier B.V. All rights reserved.en
dc.publisherElsevier B.V.en
dc.sourceRecent Advances and Trends in Nonparametric Statisticsen
dc.titleRecent Advances and Trends in Nonparametric Statisticsen
dc.description.endingpage512Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeBook Chapteren
dc.description.notes<p>Cited By :9</p>en

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