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Asymptotic efficiency of some nonparametric tests for location on hyperspheres

par Dabo-Niang, Sophie;Thiam, Baba;Verdebout, Thomas
Référence Statistics & probability letters, 188, 109524
Publication Publié, 2022-09-01

Article révisé par les pairs

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Résumé :

In the present paper, we show that several classical nonparametric tests for multivariate location in the Euclidean case can be adapted to nonparametric tests for the location problem on hyperspheres. The tests we consider are spatial signed-rank tests for location on hyperspheres. We compute the asymptotic powers of the latter tests in the classical rotationally symmetric case. In particular, we show that the spatial signed-rank test uniformly dominates the spatial sign test and has performances that are extremely close to the asymptotically optimal test in the well-known von Mises–Fisher case. Monte-Carlo simulations confirm our asymptotic results.