| 书目名称 | Functional Data Analysis | | 编辑 | J. O. Ramsay,B. W. Silverman | | 视频video | | | 概述 | The second edition of a highly successful first edition.Contains a considerable amount of new material | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | .Scientists and others today often collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modeling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis; they are drawn from growth analysis, meteorology, biomechanics, equine science, economics, and medicine...The book presents novel statistical technology, much of it based on the authors’ own research work, while keeping the mathematical level widely accessible. It is designed to appeal to students, to applied data analysts, and to experienced researchers; it will have value both within statistics and across a broad spectrum of other fields. ..This se | | 出版日期 | Book 2005Latest edition | | 关键词 | Fitting; Generalized linear model; correlation; data analysis; linear regression | | 版次 | 2 | | doi | https://doi.org/10.1007/b98888 | | isbn_softcover | 978-1-4419-2300-4 | | isbn_ebook | 978-0-387-22751-1Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer-Verlag New York 2005 |
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发表于 2025-3-21 18:46:01
