| 書目名稱 | Functional Data Analysis with R and MATLAB |
| 編輯 | James Ramsay,Giles Hooker,Spencer Graves |
| 視頻video | http://file.papertrans.cn/350/349648/349648.mp4 |
| 概述 | Includes supplementary material: |
| 叢書名稱 | Use R! |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2009 |
| 關(guān)鍵詞 | Curve registration; Derivative estimation; Dynamic systems; Functional linear model; LDA; MATLAB; Regulari |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-98185-7 |
| isbn_softcover | 978-0-387-98184-0 |
| isbn_ebook | 978-0-387-98185-7Series ISSN 2197-5736 Series E-ISSN 2197-5744 |
| issn_series | 2197-5736 |
| copyright | Springer-Verlag New York 2009 |
|Archiver|手機(jī)版|小黑屋|
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