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Functional data analysis

Author: J O Ramsay; B W Silverman
Publisher: New York ; Berlin : Springer, 2005.
Series: Springer series in statistics.
Edition/Format:   Print book : English : 2nd edView all editions and formats
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A book in the "Springer Series" in Statistics.

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Document Type: Book
All Authors / Contributors: J O Ramsay; B W Silverman
ISBN: 038740080X 9780387400808 9781441923004 1441923004
OCLC Number: 424040850
Description: xix, 426 p. : ill. ; 25 cm.
Contents: Introduction * Notation and Techniques * Representing Functional Data as Smooth Functions * The Roughness Penalty Approach * The Registration and Display of Functional Data * Principal Components Analysis for Functional Data * Regularized Principal Components Analysis * Principal Components Analysis of Mixed Data * Functional Linear Models * Functional Linear Models for Scalar Responses * Functional Linear Modesl for Functional Responses * Canonical Correlation and Discriminant Analysis * Differential Operators in Functional Data Analysis * Principal Differential Analysis * More General Roughness Penalties * Some Perspectives on FDA
Series Title: Springer series in statistics.
Responsibility: J.O. Ramsay, B.W. Silverman.

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From the reviews of the second edition:"This book is a second edition of the authors' 1997 book under the same title. ... The new edition is an excellent summary of recent work on FDA, emphasising Read more...

 
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