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Functional Data Analysis with R and MATLAB / J. O. Ramsay (u. a.) / Taschenbuch / Use R! / xii / Englisch / 2009 / Springer US / EAN 9780387981840 - Ramsay, J. O.
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Functional Data Analysis with R and MATLAB / J. O. Ramsay (u. a.) / Taschenbuch / Use R! / xii / Englisch / 2009 / Springer US / EAN 9780387981840 - Taschenbuch

2009, ISBN: 9780387981840

[ED: Taschenbuch], [PU: Springer US], Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This volume in … Mehr…

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Functional Data Analysis with R and MATLAB | J. O. Ramsay (u. a.) | Taschenbuch | Use R! | xii | Englisch | 2009 | Springer US | EAN 9780387981840 - Ramsay, J. O.
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Ramsay, J. O.:

Functional Data Analysis with R and MATLAB | J. O. Ramsay (u. a.) | Taschenbuch | Use R! | xii | Englisch | 2009 | Springer US | EAN 9780387981840 - Taschenbuch

2009, ISBN: 9780387981840

[ED: Taschenbuch], [PU: Springer US], Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This volume in … Mehr…

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Functional Data Analysis with R and MATLAB / J. O. Ramsay (u. a.) / Taschenbuch / Use R! / xii / Englisch / 2009 / Springer US / EAN 9780387981840 - Ramsay, J. O.
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Functional Data Analysis with R and MATLAB / J. O. Ramsay (u. a.) / Taschenbuch / Use R! / xii / Englisch / 2009 / Springer US / EAN 9780387981840 - Taschenbuch

2009

ISBN: 9780387981840

[ED: Taschenbuch], [PU: Springer US], Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This volume in … Mehr…

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Functional Data Analysis with R and MATLAB - Taschenbuch

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ISBN: 9780387981840

Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This volume in the UseR! Series is aimed at a wide ra… Mehr…

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Bibliographische Daten des bestpassenden Buches

Details zum Buch
Functional Data Analysis with R and MATLAB

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

Detailangaben zum Buch - Functional Data Analysis with R and MATLAB


EAN (ISBN-13): 9780387981840
ISBN (ISBN-10): 0387981845
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: Springer-Verlag GmbH
207 Seiten
Gewicht: 0,343 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-04-16T10:42:54+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-04-04T14:48:13+02:00 (Berlin)
ISBN/EAN: 9780387981840

ISBN - alternative Schreibweisen:
0-387-98184-5, 978-0-387-98184-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: hooker, ramsay, graves, giles, james spencer, hooke, grave, grav, rams, bud spencer
Titel des Buches: functional analysis, matlab, data net ufo, analysis use, ramsay


Daten vom Verlag:

Autor/in: James Ramsay; Giles Hooker; Spencer Graves
Titel: Use R! Functional Data Analysis with R and MATLAB
Verlag: Springer; Springer US
202 Seiten
Erscheinungsjahr: 2009-07-01
New York; NY; US
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
80,24 € (DE)
82,49 € (AT)
88,50 CHF (CH)
POD
XII, 202 p.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Curve registration; Derivative estimation; Dynamic systems; Functional linear model; LDA; MATLAB; Regularization; calculus; computer; data analysis; data structures; functional analysis; Statistics and Computing; Data Mining and Knowledge Discovery; Marketing; Biostatistics; Psychometrics; Public Health; Mathematische und statistische Software; Data Mining; Wissensbasierte Systeme, Expertensysteme; Marketing und Vertrieb; Psychologische Tests, Messtechniken; Public Health und Präventivmedizin; EA

by providing computer code in both the R and Matlab languages for a set of data analyses that showcase functional data analysis techniques. The authors make it easy to get up and running in new applications by adapting the code for the examples, and by being able to access the details of key functions within these pages. This book is accompanied by additional web-based support at http://www.functionaldata.org for applying existing functions and developing new ones in either language. The companion 'fda' package for R includes script files to reproduce nearly all the examples in the book including all but one of the 76 figures.

From the 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)

“This well-written book provides a great, intuitive introduction to functional data analysis … . I recommend this book for statisticians wanting to learn about the basics of functional data analysis, as well as practitioners wanting to explore their own data and perform some analyses on their own. … it would be a good basis for an applied course in functional data analysis that could be taken by statistics and biostatistics M.S. and Ph.D. students as well as other scientists with a reasonably deep quantitative background.” (Jeffrey S. Morris, The American Statistician, Vol. 65 (4), November, 2011)

“The intended audience is anybody performing FDA who must implement or use FDA software. … The goal is to educate and equip the reader for research in and/or implementation of FDA. I strongly recommend the book and will briefly describe each chapter. Most chapters include exercises so the text could easily be used as a text in a course on FDA. … In conclusion, this is a very welcome fda book.” (Tom Burr, Technometrics, Vol. 52 (4), November, 2010)

by providing computer code in both the R and Matlab languages for a set of data analyses that showcase functional data analysis techniques. The authors make it easy to get up and running in new applications by adapting the code for the examples, and by being able to access the details of key functions within these pages. This book is accompanied by additional web-based support at http://www.functionaldata.org for applying existing functions and developing new ones in either language. The companion 'fda' package for R includes script files to reproduce nearly all the examples in the book including all but one of the 76 figures.

Jim Ramsay is Professor Emeritus at McGill University and is an international authority on many aspects of multivariate analysis.  He was President of the Statistical Society of Canada in 2002-3 and holds the Society’s Gold Medal for his work in functional data analysis. His statistical work draws on his collaboration with researchers in biomechanics, chemical engineering, climatology, ecology, economics, human biology, medicine and psychology.

Giles Hooker is Assistant Professor of Biological Statistics and Computational Biology at Cornell University. His research interests include statistical inference in nonlinear dynamics, machine learning and computational statistics.

Spencer Graves is an engineer with a PhD in Statistics and over 15 years experience using S-Plus and R to analyze data in a broad range of applications. He has made substantive contributions to several CRAN packagesincluding ‘fda’ and ‘DierckxSpline.’


Includes supplementary material: sn.pub/extras

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