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＜電子ブック＞
Applied Functional Data Analysis : Methods and Case Studies / by J.O. Ramsay, B.W. Silverman
(Springer Series in Statistics. ISSN:2197568X)

版	1st ed. 2002.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2002
大きさ	XII, 191 p : online resource
著者標目	*Ramsay, J.O author Silverman, B.W author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Social sciences—Statistical methods LCSH:Biometry FREE:Statistical Theory and Methods FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy FREE:Biostatistics
一般注記	Life Course Data in Criminology -- The Nondurable Goods Index -- Bone Shapes from a Paleopathology Study -- Modeling Reaction-Time Distributions -- Zooming in on Human Growth -- Time Warping Handwriting and Weather Records -- How Do Bone Shapes Indicate Arthritis? -- Functional Models for Test Items -- Predicting Lip Acceleration from Electromyography -- The Dynamics of Handwriting Printed Characters -- A Differential Equation for Juggling Almost as soon as we had completed our previous book Functional Data Analysis in 1997, it became clear that potential interest in the ?eld was far wider than the audience for the thematic presentation we had given there. At the same time, both of us rapidly became involved in relevant new research involving many colleagues in ?elds outside statistics. This book treats the ?eld in a di?erent way, by considering case st- ies arising from our own collaborative research to illustrate how functional data analysis ideas work out in practice in a diverse range of subject areas. These include criminology, economics, archaeology, rheumatology, psych- ogy, neurophysiology, auxology (the study of human growth), meteorology, biomechanics, and education—and also a study of a juggling statistician. Obviously such an approach will not cover the ?eld exhaustively, and in any case functional data analysis is not a hard-edged closed system of thought. Nevertheless we have tried to give a ?avor of the range of meth- ology we ourselves have considered. We hope that our personal experience, including the fun we had working on these projects, will inspire others to extend “functional” thinking to many other statistical contexts. Of course, manyofourcasestudiesrequireddevelopmentofexistingmethodology,and readersshouldgaintheabilitytoadaptmethodstotheirownproblemstoo HTTP:URL=https://doi.org/10.1007/b98886

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