Cover is for reference only

Wavelets in Functional Data Analysis /

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 meteorologica...

Full description

Saved in:
Bibliographic Details
Main Authors: Morettin, Pedro A (Author)
Corporate Authors: SpringerLink (Online service)
Group Author: Pinheiro, Aluisio; Vidakovic, Brani
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: SpringerBriefs in Mathematics,
Subjects:
Mathematics.
Functional analysis.
Mathematical models.
Statistics.
Statistical Theory and Methods.
Mathematical Modeling and Industrial Mathematics.
Online Access: http://dx.doi.org/10.1007/978-3-319-59623-5
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.
Carrier Form: 1 online resource(VIII,106pages): illustrations.
ISBN: 9783319596235
Index Number: QA319
CLC: O177
Contents: Preface -- Introduction Examples of Functional Data -- Wavelets -- Wavelet Shrinkage -- Wavelet-based Andrews Plots -- Functional ANOVA -- Further topics.

Related Book Recommendations