Functional Data Analysis with R and MATLAB (eBook)

James Ramsay, Giles Hooker, Spencer Graves (Autoren)

eBook Download: PDF

2009 | 2009
XII, 202 Seiten
Springer New York (Verlag)
978-0-387-98185-7 (ISBN)

Infos

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

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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 range of readers, and especially those who would like apply these techniques to their research problems. It complements Functional Data Analysis, Second Edition and Applied Functional Data Analysis: Methods and Case Studies 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.

Inhalt

160001_1_En_FM1_Chapter_OnlinePDF.pdf 2
160001_En_1_Chapter_OnlinePDF.pdf 12
160001_En_2_Chapter_OnlinePDF.pdf 31
160001_En_3_Chapter_OnlinePDF.pdf 38
160001_En_4_Chapter_OnlinePDF.pdf 54
160001_En_5_Chapter_OnlinePDF.pdf 68
160001_En_6_Chapter_OnlinePDF.pdf 92
160001_En_7_Chapter_OnlinePDF.pdf 107
160001_En_8_Chapter_OnlinePDF.pdf 124
160001_En_9_Chapter_OnlinePDF.pdf 138
160001_En_10_Chapter_OnlinePDF.pdf 154
160001_En_11_Chapter_OnlinePDF.pdf 185
160001_1_En_BM1_Chapter_OnlinePDF.pdf 202

Produkt-Details

• Erscheint lt. Verlag: 29.6.2009
• Reihe/Serie: Use R!
• Reihe/Serie: Use R!
• Zusatzinfo: XII, 202 p.
• Verlagsort: New York
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Psychologie ► Test in der Psychologie
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Studium ► Querschnittsbereiche ► Prävention / Gesundheitsförderung
• Themenwelt: Technik
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb
• Schlagworte: Calculus • Computer • Curve registration • Data Analysis • data structures • Derivative estimation • Dynamic systems • Functional Analysis • Functional linear model • LdA • MATLAB • Regularization
• ISBN-10: 0-387-98185-3 / 0387981853
• ISBN-13: 978-0-387-98185-7 / 9780387981857