Functional Data Analysis with R and MATLAB

Author:   J O Ramsay ,  Giles Hooker ,  Spencer Graves
Publisher:   Springer
ISBN:  

9780387981864


Pages:   224
Publication Date:   14 July 2009
Format:   Undefined
Availability:   Out of stock   Availability explained


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Functional Data Analysis with R and MATLAB


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Overview

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

Full Product Details

Author:   J O Ramsay ,  Giles Hooker ,  Spencer Graves
Publisher:   Springer
Imprint:   Springer
Dimensions:   Width: 23.40cm , Height: 1.20cm , Length: 15.60cm
Weight:   0.318kg
ISBN:  

9780387981864


ISBN 10:   0387981861
Pages:   224
Publication Date:   14 July 2009
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Unknown
Availability:   Out of stock   Availability explained

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Reviews

The book is intended as a means of introducing functional data analysis to those who would like to use it as a research tool in a variety of applications. It gives a brief but clear description of the concepts and methods together with a strong focus on implementation. The mixture of R and RATLAB illustrative code works well and the latter computing environment, together with the material on dynamics, will suit those from an engineering or physical sciences background. It therefore provides an excellent starting point for those who would like to make use of these very powerful techniques in analyzing data. (Journal of Statistical Software, April 2010, Vol. 34, Book Review 3)


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