Wavelets in Functional Data Analysis (Paperback, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Mathematics
Release date:	November 2017
First published:	2017
Authors:	Pedro A. Morettin • Aluisio Pinheiro • Brani Vidakovic
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	106
Edition:	1st ed. 2017
ISBN-13:	978-3-319-59622-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Functional analysis Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	3-319-59622-5
Barcode:	9783319596228

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