Ramsay / Hooker / Graves Functional Data Analysis with R and MATLAB
2009
ISBN: 978-0-387-98185-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 213 Seiten, eBook
Reihe: Use R!
ISBN: 978-0-387-98185-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
The book provides an application-oriented overview of functional analysis, with extended and accessible presentations of key concepts such as spline basis functions, data smoothing, curve registration, functional linear models and dynamic systems
Functional data analysis is put to work in a wide a range of applications, so that new problems are likely to find close analogues in this book
The code in R and Matlab in the book has been designed to permit easy modification to adapt to new data structures and research problems
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
to Functional Data Analysis.- Essential Comparisons of the Matlab and R Languages.- How to Specify Basis Systems for Building Functions.- How to Build Functional Data Objects.- Smoothing: Computing Curves from Noisy Data.- Descriptions of Functional Data.- Exploring Variation: Functional Principal and Canonical Components Analysis.- Registration: Aligning Features for Samples of Curves.- Functional Linear Models for Scalar Responses.- Linear Models for Functional Responses.- Functional Models and Dynamics.
