Wavelets in functional data analysis
2017
QA403.3
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Can lend chapters, not whole ebooks
Details
Title
Wavelets in functional data analysis
Author
Morettin, Pedro A.
ISBN
9783319596235 (electronic book)
3319596233 (electronic book)
9783319596228
3319596225
3319596233 (electronic book)
9783319596228
3319596225
Publication Details
Cham : Springer, 2017.
Language
English
Description
1 online resource (112 p.)
Call Number
QA403.3
Dewey Decimal Classification
515/.2433
515.7
515.7
Summary
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.-- Provided by publisher.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Pinheiro, Aluísio.
Vidakovic, Brani.
Vidakovic, Brani.
Series
SpringerBriefs in mathematics.
Available in Other Form
Wavelets in Functional Data Analysis
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Online Access
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