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Nonlinear estimation and classification

Author: David D Denison
Publisher: New York : Springer, ©2003.
Series: Lecture notes in statistics (Springer-Verlag), v. 171.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis,"  Read more...

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Genre/Form: Kongress
Berkeley (Calif., 1999)
Additional Physical Format: Online version:
Nonlinear estimation and classification.
New York : Springer, ©2003
(OCoLC)626032501
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: David D Denison
ISBN: 0387954716 9780387954714
OCLC Number: 50510726
Description: vii, 474 pages : illustrations ; 24 cm.
Contents: Introduction / David D. Denison, Mark H. Hansen, Christopher C. Holmes, Bani Mallick and Bin Yu --
1. Wavelet Statistical Models and Besov Spaces / Hyeokho Choi and Richard G. Baraniuk --
2. Coarse-to-Fine Classification and Scene Labeling / Donald Geman --
3. Environmental Monitoring Using a Time Series of Satellite Images and Other Spatial Data Sets / Harri Kiiveri, Peter Caccetta, Norm Campbell, Fiona Evans, Suzanne Furby and Jeremy Wallace --
4. Traffic Flow on a Freeway Network / Peter Bickel, Chao Chen, Jaimyoung Kwon, John Rice, Pravin Varaiya and Erik van Zwet --
5. Internet Traffic Trends Toward Poisson and Independent as the Load Increases / Jin Cao, William S. Cleveland, Dong Lin and Don X. Sun.
Series Title: Lecture notes in statistics (Springer-Verlag), v. 171.
Responsibility: editors, David D. Denison [and others].

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