Wavelets in Functional Data Analysis

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Éditeur :

Springer


Collection :

SpringerBriefs in Mathematics

Paru le : 2017-11-07

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Description
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.

Pages
106 pages
Collection
SpringerBriefs in Mathematics
Parution
2017-11-07
Marque
Springer
EAN papier
9783319596228
EAN PDF
9783319596235

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
4413 Ko
Prix
68,56 €
EAN EPUB
9783319596235

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
2345 Ko
Prix
68,56 €