Science and Technology Production
A Kruskal-Wallis type test for functional data
Article
Date:
2025Publishing House and Editing Place:
TAYLOR & FRANCIS INCMagazine:
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION (pp. 1-15) TAYLOR & FRANCIS INCSummary *
We present a non-parametric method to decide whether K independent samples of functional data have the same location parameter. To do so, random projections are used to transform functional data into univariate data and a Kruskal Wallis test is then applied in order to solve the one-dimensional problem. The p-values obtained from different projections are combined by applying the False Discovery Rate correction, giving rise to a new procedure that solves the functional problem. The method is explored through synthetic data and analyzing two real data sets. Information provided by the agent in SIGEVAKey Words
FUNCTIONAL DATA HYPOTHESIS TESTNON PARAMETRICKRUSKAL WALLIS