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 …

Environmental factors favoring myopia development are still being studied and there is
accumulating evidence for a significant role of nearwork. Recently, reading standard black …

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 …

We develop methodology for testing relevant hypotheses about functional time series in a
tuning-free way. Instead of testing for exact equality, eg for the equality of two mean …

We investigate the properties of a simple bootstrap method for testing the equality of mean
functions or of covariance operators in functional data. Theoretical size and power results …

A nonparametric scan method for functional data indexed in space is introduced. The
associated scan statistic is derived from the Wilcoxon-Mann-Whitney test statistic defined for …

Multivariate functional data are frequently obtained in many scientific or industrial areas
where several functions for a statistical unit are observed over time. It is often interesting to …

Abstract The Wilcoxon–Mann–Whitney test is a robust competitor of the test in the univariate
setting. For finite-dimensional multivariate non-Gaussian data, several extensions of the …

We propose an L 2-norm based global testing procedure for the null hypothesis that multiple
group mean functions are equal, for functional data with complex dependence structure …

Collections of probability distributions arise in a variety of applications ranging from user
activity pattern analysis to brain connectomics. In practice these distributions can be defined …