Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
A Kruskal-Wallis type test for functional data. |
| Συγγραφείς: |
Rodriguez, Daniela1 (AUTHOR), Sued, Mariela2 (AUTHOR), Valdora, Marina3 (AUTHOR) mvaldora@dm.uba.ar |
| Πηγή: |
Communications in Statistics: Simulation & Computation. 2026, Vol. 55 Issue 5, p1787-1801. 15p. |
| Θεματικοί όροι: |
*Functional analysis, *Statistical hypothesis testing, Kruskal-Wallis Test, Robust statistics, Random projection method, False discovery rate |
| Περίληψη: |
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. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
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