ABSTRACT

Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the reconstruction of functional observations, functional ANOVA, functional l

chapter 1|18 pages

Introduction

chapter 2|28 pages

Nonparametric Smoothers for a Single Curve

chapter 3|36 pages

Reconstruction of Functional Data

chapter 4|46 pages

Stochastic Processes

chapter 5|68 pages

ANOVA for Functional Data

chapter 6|44 pages

Linear Models with Functional Responses

chapter 7|32 pages

Ill-Conditioned Functional Linear Models

chapter 8|34 pages

Diagnostics of Functional Observations

chapter 9|44 pages

Heteroscedastic ANOVA for Functional Data

chapter 10|18 pages

Test of Equality of Covariance Functions