A method able to detect a possible common structure between two (or more than two) groups of curves is considered. This technique is part of the recent developments within the field of Functional Data Analysis. It is discussed how the standard approach based on factorial analysis for comparing groups of multivariate data can be used in this infinite-dimensional framework. The potentiality of su...

Functional Data Analysis is a relatively new branch of Statistics devoted to describing and modelling data that are complete functions. Many relevant aspects of musical performance and perception can be understood and quantified as dynamic processes evolving as functions of time. In this paper, we show that Functional Data Analysis is a statistical methodology well-suited for research into the ...

sensitivity analysis with respect to the functional forms provides estimates of the uncertainties involved in choosing a specific functional structure. this is vital in cge modeling where it is conventional to take elasticities from other studies. in the present study, the robustness of model results with respect to the functional form is checked. in one scenario, the production function is rep...

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging of brain functions. Currently, there is a large variety of software packages for the analysis of fMRI data, each providing many features for users. Since there is no single package that can provide all the necessary analyses for the fMRI data, it is helpful to know the features of each software package. ...

the growing attention to formulaic sequences during the last decade indicates that the functional features of such sequences play a crucial role in writing. formulaic sequences are prefabricated linguistic components which are stored and retrieved as a whole. the present study aims to examine the functional features of such sequences in persian writings. to do so, 10 writing samples of persian ...

The term “functional data” refers to data where each observation is a curve, a surface, or a hypersurface, as opposed to a point or a finite-dimensional vector. Functional data are intrinsically infinite dimensional and measurements on the same curve display high correlation, making assumptions of classical multivariate models invalid. An alternative approach, functional principal components an...

This study aimed at investigating shades of identity in TEFL textbooks. Most identity studies have focused on authors as knowledge producers. They have neglected authors' roles in constructing identity. Further, few scholars have considered disciplinary specific textbooks in their analyses of identity. Trying to bridge these gaps, we applied Halliday’s Systemic Functional Linguistics to investi...