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
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
Functional Data Analysis with R presents many ideas for handling functional data including dimension reduction techniques, smoothing, functional regression, structured decompositions of curves, and...
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