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Wavelets in functional data analysis

Pinheiro, Aluisio.

Wavelets in functional data analysis

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Wavelets in functional data analysis/ by Pedro A. Morettin, Aluisio Pinheiro, Brani Vidakovic.
Author:	Morettin, Pedro A.
other author:	Pinheiro, Aluisio.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	viii, 106 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Wavelets (Mathematics) -
Online resource:	http://dx.doi.org/10.1007/978-3-319-59623-5
ISBN:	9783319596235

Wavelets in functional data analysis
Morettin, Pedro A.

Wavelets in functional data analysis[electronic resource] /by Pedro A. Morettin, Aluisio Pinheiro, Brani Vidakovic. - Cham :Springer International Publishing :2017. - viii, 106 p. :ill., digital ;24 cm. - Springerbriefs in mathematics,2191-8198. - Springerbriefs in mathematics..

Preface -- Introduction Examples of Functional Data -- Wavelets -- Wavelet Shrinkage -- Wavelet-based Andrews Plots -- Functional ANOVA -- Further topics.

Wavelet-based procedures are key in many areas of statistics, applied mathematics, engineering, and science. This book presents wavelets in functional data analysis, offering a glimpse of problems in which they can be applied, including tumor analysis, functional magnetic resonance and meteorological data. Starting with the Haar wavelet, the authors explore myriad families of wavelets and how they can be used. High-dimensional data visualization (using Andrews' plots), wavelet shrinkage (a simple, yet powerful, procedure for nonparametric models) and a selection of estimation and testing techniques (including a discussion on Stein's Paradox) make this a highly valuable resource for graduate students and experienced researchers alike.

ISBN: 9783319596235

Standard No.: 10.1007/978-3-319-59623-5doiSubjects--Topical Terms:

528163
Wavelets (Mathematics)

LC Class. No.: QA403.3

Dewey Class. No.: 515.2433

Wavelets in functional data analysis
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245 1 0 $a Wavelets in functional data analysis $h [electronic resource] / $c by Pedro A. Morettin, Aluisio Pinheiro, Brani Vidakovic.
260 $a Cham : $c 2017. $b Springer International Publishing : $b Imprint: Springer,
300 $a viii, 106 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springerbriefs in mathematics, $x 2191-8198
505 0 $a Preface -- Introduction Examples of Functional Data -- Wavelets -- Wavelet Shrinkage -- Wavelet-based Andrews Plots -- Functional ANOVA -- Further topics.
520 $a Wavelet-based procedures are key in many areas of statistics, applied mathematics, engineering, and science. This book presents wavelets in functional data analysis, offering a glimpse of problems in which they can be applied, including tumor analysis, functional magnetic resonance and meteorological data. Starting with the Haar wavelet, the authors explore myriad families of wavelets and how they can be used. High-dimensional data visualization (using Andrews' plots), wavelet shrinkage (a simple, yet powerful, procedure for nonparametric models) and a selection of estimation and testing techniques (including a discussion on Stein's Paradox) make this a highly valuable resource for graduate students and experienced researchers alike.
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650 0 $a Mathematical statistics. $3 527941
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650 2 4 $a Functional Analysis. $3 672166
650 2 4 $a Statistical Theory and Methods. $3 671396
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 669172
700 1 $a Pinheiro, Aluisio. $3 1197528
700 1 $a Vidakovic, Brani. $3 786683
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-59623-5
950 $a Mathematics and Statistics (Springer-11649)

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