Testing additivity in nonparametric regression under random censorship

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dc.creatorDebbarh, Mohammed
dc.creatorViallon, Vivian
dc.date2008-02-07
dc.date.accessioned2026-07-07T09:19:19Z
dc.date.available2026-07-07T09:19:19Z
dc.descriptionIn this paper, we are concerned with nonparametric estimation of the multivariate regression function in the presence of right censored data. More precisely, we propose a statistic that is shown to be asymptotically normally distributed under the additive assumption, and that could be used to test for additivity in the censored regression setting.
dc.identifierhttps://arxiv.org/abs/0802.1047
dc.identifierhttp://arxiv.org/abs/0802.1047
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/154345
dc.subjectStatistics Theory
dc.titleTesting additivity in nonparametric regression under random censorship
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