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Description - Recent Advances and Trends in Nonparametric Statistics by Michael G. Akritas

The advent of high-speed, affordable computers 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 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.

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Book Details

ISBN: 9780444513786
ISBN-10: 0444513787
Format: Hardback
Pages: 522
Imprint: JAI Press Inc.
Publisher: Elsevier Science & Technology
Publish Date: 31-Oct-2003
Country of Publication: United Kingdom

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