Functional Data Analysis

✍ Scribed by J. O. Ramsay, B. W. Silverman (auth.)

Publisher: Springer New York
Year: 1997
Tongue: English
Leaves: 317
Series: Springer Series in Statistics
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Front Matter....Pages i-xiv
Introduction....Pages 1-21
Notation and techniques....Pages 23-36
Representing functional data as smooth functions....Pages 37-56
The roughness penalty approach....Pages 57-66
The registration and display of functional data....Pages 67-83
Principal components analysis for functional data....Pages 85-109
Regularized principal components analysis....Pages 111-124
Principal components analysis of mixed data....Pages 125-137
Functional linear models....Pages 139-155
Functional linear models for scalar responses....Pages 157-177
Functional linear models for functional responses....Pages 179-197
Canonical correlation and discriminant analysis....Pages 199-216
Differential operators in functional data analysis....Pages 217-238
Principal differential analysis....Pages 239-256
More general roughness penalties....Pages 257-276
Some perspectives on FDA....Pages 277-283
Back Matter....Pages 293-311

✦ Subjects

Statistical Theory and Methods; Statistics, general

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