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Wavelets in Functional Data Analysis - SpringerBriefs in Mathematics (Paperback)
  • Wavelets in Functional Data Analysis - SpringerBriefs in Mathematics (Paperback)
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Wavelets in Functional Data Analysis - SpringerBriefs in Mathematics (Paperback)

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£44.99
Paperback 106 Pages / Published: 23/11/2017
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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.

Publisher: Springer International Publishing AG
ISBN: 9783319596228
Number of pages: 106
Weight: 1883 g
Dimensions: 235 x 155 mm
Edition: 1st ed. 2017

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