Includes bibliographical references (p. 87) and index.
|Statement||Douglas B. Clarkson ... [et al.].|
|Contributions||Clarkson, Douglas B.|
|LC Classifications||QA278 .S18 2005|
|The Physical Object|
|Pagination||x, 192 p. ;|
|Number of Pages||192|
|LC Control Number||2005924801|
This book can be considered a companion to two other highly acclaimed books involving James Ramsay and Bernard Silverman: Functional Data Analysis, Second Edition () and Applied Functional Data This user's manual also provides the documentation for the S+FDA library for S Plus. Get this from a library! S+ functional data analysis: user's manual for Windows. [Douglas B Clarkson;] -- S+Functional Data Analysis is a commercial object oriented package for exploring, modeling, and analyzing functional data. This book is a companion to two other books: "Functional Data Analysis. Cluster analysis is an exploratory technique. Functional data methods offer the advantage of allowing a greater variety of clustering matrixes to choose from. The examples involving the clustering of. In this case, spatial functional data analysis tools, spectral transformations (e.g. functional principal component analysis; see, for example, Clarkson et al., ) are applied to the available.
E-Book Review and Description: S+Functional Data Analysis is the first business object oriented package deal deal for exploring, modeling, and analyzing sensible data. Sensible data analysis (FDA) handles longitudinal data and treats each assertion as a carry out of time (or totally different variable). The options are related. Functional data analysis (FDA) is a branch of statistics that analyzes data providing information about curves, surfaces or anything else varying over a continuum. In its most general form, under an FDA framework each sample element is considered to be a function. The physical continuum over which these functions are defined is often time, but may also be spatial location, wavelength. Jul 26, · "The authors are leading experts in functional data analysis, and they have provided a comprehensive discussion on various statistical techniques for the analysis of functional data. The book contains an impressive collection of examples and those make the book really enjoyable to /5(7). CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This book is a short user’s manual for functional data analysis software in S+FDA library, which is an S-Plus implementation of Ramsey and Sil-verman’s (,) books by Insightful Corporation. This software is free, and S+FDA library can be easily downloaded from Insightful’s webpage.
Functional Data Analysis A Short Course Giles Hooker 11/10/ 1/ Functional Data Analysis ableT of Contents 1 Introduction 2 Representing Functional Data 3 Exploratory Data Analysis 4 The fda Package 5 Functional Linear Models 6 Functional Linear Models in . Nonparametric Functional Data Analysis Theory and Practice April 18, Springer Berlin Heidelberg NewYork functional elds. This book presents in a original way new nonparametric statistical meth- S+ is an object-oriented language intensively used in engineering and applied. S+ Functional Data Analysis. Douglas B. Clarkson S Functional Data Analysis User’s Manual for Windows The book is intended as a guide to the functional data analysis software in the S+FDA library. It gives a general overview, and treats each topic . Functional Data Analysis: Techniques and Applications R. Todd Ogden and Jeff Goldsmith March 17, Outline Functional data are technically multivariate data! Common problems in functional data analysis Some issues arise regularly in FDA.