TY  - BOOK
AU  - Morettin,Pedro A.
AU  - Pinheiro,Aluísio
AU  - Vidakovic,Brani
ED  - SpringerLink (Online service)
TI  - Wavelets in Functional Data Analysis
T2  - SpringerBriefs in Mathematics,
SN  - 9783319596235
AV  - QA319-329.9 
U1  - 515.7 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Functional analysis
KW  - Statistics 
KW  - Mathematical models
KW  - Functional Analysis
KW  - Statistical Theory and Methods
KW  - Mathematical Modeling and Industrial Mathematics
N1  - Preface -- Introduction Examples of Functional Data -- Wavelets -- Wavelet Shrinkage -- Wavelet-based Andrews Plots -- Functional ANOVA -- Further topics; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-59623-5
ER  -