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Morettin / Pinheiro / Vidakovic

Wavelets in Functional Data Analysis

1st ed. 2017. Buch. viii, 106 S.: 19 s/w-Abbildungen, 25 Farbabbildungen, 42 Farbtabellen, Bibliographien. Softcover
Springer ISBN 978-3-319-59622-8
Format (B x L): 15,5 x 23,5 cm
Gewicht: 188 g
In englischer Sprache
Das Werk ist Teil der Reihe:
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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Webcode: beck-shop.de/btzqte
Brings together results in wavelet functional data analysis that to date were only available in papers The only book to present functional data analysis from a wavelet point of view in a general framework Offers numerous sample coded applications for use with MATLAB Includes chapters in state-of-the-art topics like visualization of functional analysis via wavelets, optimal estimation and testing methods