Functional Data Analysis with R and MATLAB by James Ramsay

Functional Data Analysis with R and MATLAB by James Ramsay

Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This volume is especially aimed toward those wanting to apply these techniques to their research problems.

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 applicationsIt 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)

Jim Ramsay, PhD, is Professor Emeritus of Psychology and an Associate Member in the Department of Mathematics and Statistics at McGill University. He received his PhD from Princeton University in 1966 in quantitative psychology. He has been President of the Psychometric Society and the Statistical Society of Canada. He received the Gold Medal in 1998 for his contributions to psychometrics and functional data analysis and Honorary Membership in 2012 from the Statistical Society of Canada.

Giles Hooker, PhD, is Associate Professor of Biological Statistics and Computational Biology at Cornell University. In addition to differential equation models, he has published extensively on functional data analysis and uncertainty quantification in machine learning. Much of his methodological work is inspired by collaborations in ecology and citizen science data.

SKU	Unavailable
ISBN 13	9780387981840
ISBN 10	0387981845
Title	Functional Data Analysis with R and MATLAB
Author	James Ramsay
Series	Use R!
Condition	Unavailable
Binding Type	Paperback
Publisher	Springer-Verlag New York Inc.
Year published	2009-07-01
Number of pages	202
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.