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 linear models with functional responses, ill-conditioned functional linear models, diagnostics of functional observations, heteroscedastic ANOVA for functional data, and testing equality of covariance functions. Although the methodologies presented a
Functional responses are encountered when units are observed over time. Although the whole function ...
With the advance of modern technology, more and more data are being recorded continuously during a t...
Functional data analysis (FDA) involves the analysis of data whose ideal units of observation are fu...
We introduce the concept of functional data and the problem of functional analysis of variance, whic...
A parametric functional analysis of variance (FANOVA) is proposed to measure the functional varia- ...
<p>Functional data are being observed frequently in many scientific fields, and therefore most of th...
Functional Data Analysis is the branch of statistics in which data are realizations of a functional ...
The aim of the master thesis is to review of reconstruction techniques of func- tional data and exis...
20 pages, 1 article*On Testing for a Functional Relationship Between Mean and Variance, with Applica...
Functional data showing spatial dependence structure occur in many applied fields. For example, in m...
In this dissertation we present an extension to the well known theory of multivariate analysis of va...
The methodological contribution in this paper is motivated by biomechanical studies where data chara...
This paper is devoted to the R package fda.usc which includes some utilities for functional data ana...
<p>In real data analysis, it is often interesting to consider a general linear hypothesis testing (G...
Psychologists and behavioural scientists are increasingly collecting data that are drawn from contin...
Functional responses are encountered when units are observed over time. Although the whole function ...
With the advance of modern technology, more and more data are being recorded continuously during a t...
Functional data analysis (FDA) involves the analysis of data whose ideal units of observation are fu...
We introduce the concept of functional data and the problem of functional analysis of variance, whic...
A parametric functional analysis of variance (FANOVA) is proposed to measure the functional varia- ...
<p>Functional data are being observed frequently in many scientific fields, and therefore most of th...
Functional Data Analysis is the branch of statistics in which data are realizations of a functional ...
The aim of the master thesis is to review of reconstruction techniques of func- tional data and exis...
20 pages, 1 article*On Testing for a Functional Relationship Between Mean and Variance, with Applica...
Functional data showing spatial dependence structure occur in many applied fields. For example, in m...
In this dissertation we present an extension to the well known theory of multivariate analysis of va...
The methodological contribution in this paper is motivated by biomechanical studies where data chara...
This paper is devoted to the R package fda.usc which includes some utilities for functional data ana...
<p>In real data analysis, it is often interesting to consider a general linear hypothesis testing (G...
Psychologists and behavioural scientists are increasingly collecting data that are drawn from contin...
Functional responses are encountered when units are observed over time. Although the whole function ...
With the advance of modern technology, more and more data are being recorded continuously during a t...
Functional data analysis (FDA) involves the analysis of data whose ideal units of observation are fu...