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Inference for Functional Data with Applications

Overview of attention for book
Cover of 'Inference for Functional Data with Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Functional data structures
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    Chapter 2 Hilbert space model for functional data
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    Chapter 3 Functional principal components
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    Chapter 4 Canonical correlation analysis
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    Chapter 5 Two sample inference for the mean and covariance functions
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    Chapter 6 Detection of changes in the mean function
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    Chapter 7 Portmanteau test of independence
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    Chapter 8 Functional linear models
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    Chapter 9 Test for lack of effect in the functional linear model
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    Chapter 10 Two sample inference for regression kernels
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    Chapter 11 Tests for error correlation in the functional linear model
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    Chapter 12 A test of significance in functional quadratic regression
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    Chapter 13 Functional autoregressive model
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    Chapter 14 Change point detection in the functional autoregressive process
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    Chapter 15 Determining the order of the functional autoregressive model
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    Chapter 16 Functional time series
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    Chapter 17 Spatially distributed functional data
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    Chapter 18 Consistency of the simple mean and the empirical functional principal components for spatially distributed curves
Attention for Chapter 18: Consistency of the simple mean and the empirical functional principal components for spatially distributed curves
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Chapter title
Consistency of the simple mean and the empirical functional principal components for spatially distributed curves
Chapter number 18
Book title
Inference for Functional Data with Applications
Published by
Springer, New York, NY, January 2012
DOI 10.1007/978-1-4614-3655-3_18
Book ISBNs
978-1-4614-3654-6, 978-1-4614-3655-3
Authors

Lajos Horváth, Piotr Kokoszka

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Unknown 1 100%

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