Functional data analysis with R and MATLAB
著者
書誌事項
Functional data analysis with R and MATLAB
（Use R! / series editors, Robert Gentleman, Kurt Hornik, Giovanni Parmigiani）
Springer, c2009
- : pbk.
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注記
Includes bibliographical references (p. 199-202) and index
内容説明・目次
内容説明
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
目次
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.
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