Add to ORKGThe thesis investigates the use of the novel Functional Data Analysis (FDA) methods in tackling various data types. Strong motivation is provided for the use of interesting opportunities offered by FDA to analyse not only economic data, but generally, data from any domain. The use of these methods is illustrated using three unique self-contained case-studies from econometrics.Thesis (PhD) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 202
Functional data analysis (FDA) involves the analysis of data whose ideal units of observation are fu...
Permission is hereby granted to the University of Alberta Library to reproduce single copies of this...
The growth of sensor streamed data in recent years increases the demand for an analytical technique ...
The thesis investigates the use of the novel Functional Data Analysis (FDA) methods in tackling vari...
Functional data analysis (FDA) is a branch of statistics that analyzes data providing information ab...
Psychologists and behavioural scientists are increasingly collecting data that are drawn from contin...
With the advance of modern technology, more and more data are being recorded continuously during a t...
BACKGROUND: Functional data analysis (FDA) is increasingly being used to better analyze, model and p...
This thesis delves into the world of Functional Data Analysis (FDA) and its analog of Principal Comp...
This master thesis discusses selected topics of Functional Data Analysis (FDA). FDA deals with the r...
In this article, we introduce functional data analysis (FDA), a set of statistical tools developed t...
This paper is devoted to the R package fda.usc which includes some utilities for functional data ana...
Almost as soon as we had completed our previous book Functional Data Analysis in 1997, it became cle...
Functional Data Analysis, or FDA, is the field of Statistics that analyses data that depend on a con...
Background Functional data analysis (FDA) is increasingly being used to better analyze, model and pr...
Functional data analysis (FDA) involves the analysis of data whose ideal units of observation are fu...
Permission is hereby granted to the University of Alberta Library to reproduce single copies of this...
The growth of sensor streamed data in recent years increases the demand for an analytical technique ...
The thesis investigates the use of the novel Functional Data Analysis (FDA) methods in tackling vari...
Functional data analysis (FDA) is a branch of statistics that analyzes data providing information ab...
Psychologists and behavioural scientists are increasingly collecting data that are drawn from contin...
With the advance of modern technology, more and more data are being recorded continuously during a t...
BACKGROUND: Functional data analysis (FDA) is increasingly being used to better analyze, model and p...
This thesis delves into the world of Functional Data Analysis (FDA) and its analog of Principal Comp...
This master thesis discusses selected topics of Functional Data Analysis (FDA). FDA deals with the r...
In this article, we introduce functional data analysis (FDA), a set of statistical tools developed t...
This paper is devoted to the R package fda.usc which includes some utilities for functional data ana...
Almost as soon as we had completed our previous book Functional Data Analysis in 1997, it became cle...
Functional Data Analysis, or FDA, is the field of Statistics that analyses data that depend on a con...
Background Functional data analysis (FDA) is increasingly being used to better analyze, model and pr...
Functional data analysis (FDA) involves the analysis of data whose ideal units of observation are fu...
Permission is hereby granted to the University of Alberta Library to reproduce single copies of this...
The growth of sensor streamed data in recent years increases the demand for an analytical technique ...