Producción CyT
A Kruskal-Wallis type test for functional data
Artículo
Fecha:
2025Editorial y Lugar de Edición:
TAYLOR & FRANCIS INCRevista:
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION (pp. 1-15) TAYLOR & FRANCIS INCResumen *
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. Información suministrada por el agente en SIGEVAPalabras Clave
FUNCTIONAL DATA HYPOTHESIS TESTNON PARAMETRICKRUSKAL WALLIS