Functional Data Analysis with R and MATLAB (Use R!) - Softcover

Ramsay, James O.

Softcover

ISBN 10: 0387981845 ISBN 13: 9780387981840

Verlag: Springer, 2009

Inhaltsangabe

Book by Ramsay James Hooker Giles Graves Spencer

Über diesen Titel

Críticas

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)

Reseña del editor

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.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2009
• ISBN 10: 0387981845
• ISBN 13: 9780387981840
• Einband: Tapa blanda
• Sprache: Englisch
• Anzahl der Seiten: 224