Functional data analysis has been a popular statistical research topic for the past three
decades. Functional data are often obtained by observing a number of subjects over time …

Functional data analysis (FDA) is a statistical framework that allows for the analysis of
curves, images, or functions on higher dimensional domains. The goals of FDA, such as …

In this paper, some new tests based on the idea of the B-spline test (Shen and Faraway in
Stat Sin 14: 1239–1257, 2004) for the one-way ANOVA problem for functional data are …

Functional data, ie, observations represented by curves or functions, frequently arise in
various fields. The theory and practice of statistical methods for such data is referred to as …

Electroencephalography (EEG) is a noninvasive method to record electrical activity of the
brain. The EEG data is continuous flow of voltages, in this paper, we consider them as …

In the framework of null hypothesis significance testing for functional data, we propose a
procedure able to select intervals of the domain imputable for the rejection of a null …

Motivated by an ischemic heart screening problem, a new global test for one-way ANOVA in
functional data analysis is studied. The test statistic is taken as the maximum of the pointwise …

Sign, Wilcoxon and Mann-Whitney tests are nonparametric methods in one or two-sample
problems. The nonparametric methods are alternatives used for testing hypothesis when the …

Functional data are being observed frequently in many scientific fields, and therefore most of
the standard statistical methods are being adapted for functional data. The multivariate …

Abstract The World Wide Web (WWW) has become a popular and readily accessible big
data source in recent decades. The information in the WWW is offered in many different …