文章基本信息

标题：Functional Data Analysis with R and MATLAB
本地全文：下载
作者：Adrian Bowman
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2010
卷号：34
期号：Book Review 3
出版社：University of California, Los Angeles
摘要：One of the major strengths of statistical methodology is that the key ideas and techniques developed in one area can often be adapted to deal with completely dierent types of data structure. Functional data analysis is a very good example of this, where data in the form of curves or more complex objects can be modelled by suitable adaptations of principal com- ponents analysis, linear models or other tools which are familiar when dealing with simpler forms of data. One of the rst systematic treatments of functional data was by Ramsay and Silverman (2005) and this remains a key text for a general introduction, including some technical details of the methodology as well as a variety of applications. A companion text by Ramsay and Silverman (2002) has a more substantial focus on case studies. The text reviewed here has rather dierent aims, as it seeks to introduce the ideas of functional data analysis in an application-oriented manner, with direct reference to the computational tools available in the R and MATLAB computing platforms. There are numerous examples and, as bets the Use R! series, the discussion of these includes code to perform the analysis.