| 书目名称 | S+Functional Data Analysis | | 副标题 | User‘s Manual for Wi | | 编辑 | Douglas B. Clarkson,Chris Fraley,James O. Ramsey | | 视频video | | | 概述 | Provides documentation for the S-PLUS module on functional data analysis.Will supplement our two books on this topic by Ramsay/Silverman.Includes supplementary material: | | 图书封面 |  | | 描述 | .S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional data. Functional data analysis (FDA) handles longitudinal data and treats each observation as a function of time (or other variable). The functions are related. The goal is to analyze a sample of functions instead of a sample of related points. ..FDA differs from traditional data analytic techniques in a number of ways. Functions can be evaluated at any point in their domain. Derivatives and integrals, which may provide better information (e.g. graphical) than the original data, are easily computed and used in multivariate and other functional analytic methods...The analyst using S+FDA can handle irregularly spaced data or data with missing values. For large amounts of data, working with a functional representation can save storage. Moreover, S+FDA provides a variety of analytic techniques for functional data including linear models, generalized linear models, principal components, canonical correlation, principal differential analysis, and clustering...This book can be considered a companion to two other highly acclaimed books involving James Ramsay and Ber | | 出版日期 | Book 2005 | | 关键词 | Generalized linear model; cluster analysis; clustering; correlation; data analysis | | 版次 | 1 | | doi | https://doi.org/10.1007/0-387-28393-5 | | isbn_softcover | 978-0-387-24969-8 | | isbn_ebook | 978-0-387-28393-7 | | copyright | Springer-Verlag New York 2005 |
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发表于 2025-3-21 17:16:42
