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Functional data analysis

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Cover of 'Functional data analysis'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
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    Chapter 2 Tools for exploring functional data
  4. Altmetric Badge
    Chapter 3 From functional data to smooth functions
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    Chapter 4 Smoothing functional data by least squares
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    Chapter 5 Smoothing functional data with a roughness penalty
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    Chapter 6 Constrained functions
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    Chapter 7 The registration and display of functional data
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    Chapter 8 Principal components analysis for functional data
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    Chapter 9 Regularized principal components analysis
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    Chapter 10 Principal components analysis of mixed data
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    Chapter 11 Canonical correlation and discriminant analysis
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    Chapter 12 Functional linear models
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    Chapter 13 Modelling functional responses with multivariate covariates
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    Chapter 14 Functional responses, functional covariates and the concurrent model
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    Chapter 15 Functional linear models for scalar responses
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    Chapter 16 Functional linear models for functional responses
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    Chapter 17 Derivatives and functional linear models
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    Chapter 18 Differential equations and operators
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    Chapter 19 Fitting differential equations to functional data: Principal differential analysis
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    Chapter 20 Green’s functions and reproducing kernels
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    Chapter 21 More general roughness penalties
  23. Altmetric Badge
    Chapter 22 Some perspectives on FDA
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Citations

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Title
Functional data analysis
Published by
Springer, January 2005
DOI 10.1007/b98888
ISBNs
978-0-387-40080-8, 978-0-387-22751-1
Authors

Ramsay, J. O, Silverman, B. W., Ramsay, J. O.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 1%
Unknown 76 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 8%
Researcher 4 5%
Student > Bachelor 2 3%
Student > Master 2 3%
Student > Doctoral Student 2 3%
Other 0 0%
Unknown 61 79%
Readers by discipline Count As %
Engineering 6 8%
Computer Science 2 3%
Business, Management and Accounting 1 1%
Mathematics 1 1%
Social Sciences 1 1%
Other 3 4%
Unknown 63 82%