4 papers
A goodness-of-fit test for the Zeta distribution with unknown parameter
Bruno Ebner, Daniel Hlubinka
We introduce a new goodness-of-fit test for count data on for the Zeta distribution with unknown parameter. The test is built on a Stein-type characterization that use…
One-sample location tests based on center-outward signs and ranks
Daniel Hlubinka, Šárka Hudecová
A multivariate one-sample location test based on the center-outward ranks and signs is considered, and two different testing procedures are proposed for centrally symmetric distrib…
Functional Sample Problem via Multivariate Optimal Measure Transport-Based Permutation Test
Šárka Hudecová, Daniel Hlubinka, Zdeněk Hlávka
The null hypothesis of equality of distributions of functional data coming from samples is considered. The proposed test statistic is multivariate and its components are based…
Multivariate quantile-based permutation tests with application to functional data
Zdeněk Hlávka, Daniel Hlubinka, Šárka Hudecová
Permutation tests enable testing statistical hypotheses in situations when the distribution of the test statistic is complicated or not available. In some situations, the test stat…