Recent Advances and Trends in Nonparametric Statistics
Language: English
Published by Elsevier Science and Technology, GB, 2003
- Hardcover
- New
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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.
Seller Inventory # LU-9780444513786
- Title
- Recent Advances and Trends in Nonparametric Statistics
- Author
- M.G. Akritas, D.N. Politis
- Publisher
- Elsevier Science and Technology, GB
- Publication year
- 2003
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 0444513787
- ISBN 13
- 9780444513786
- Item weight
- 1,090 grams
Key features:
• algorithic approaches• wavelets and nonlinear smoothers• graphical methods and data mining• biostatistics and bioinformatics• bagging and boosting• support vector machines• resampling methods
"Synopsis" may belong to another edition of this title.
Review
Tapabrata Maiti (Iowa State University), in: Journal of American Statistical Association, 2005
"About the title" may belong to another edition of this title.
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