Asymptotic normality for estimators of the additive regression components under random censorship

Simple item page
dc.creatorDebbarh, M.
dc.creatorViallon, V.
dc.date2006-12-18
dc.date2008-03-07
dc.date.accessioned2026-07-07T09:25:20Z
dc.date.available2026-07-07T09:25:20Z
dc.descriptionWe establish asymptotic normality for estimators of the additive regression components under random censorship. To build our estimators, we couple the marginal integration method (Newey (1994)) with an initial Inverse Probability of Censoring Weighted estimator of the multivariate censored regression function introduced by Carbonez et al. (1995) and Kohler et al. (2002). Asymptotic confidence bands are derived from our result.
dc.description21 pages, 1 figures
dc.identifierhttps://arxiv.org/abs/math/0612507
dc.identifierhttp://arxiv.org/abs/math/0612507
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/156370
dc.subjectStatistics Theory
dc.subject62G08; 62N01
dc.titleAsymptotic normality for estimators of the additive regression components under random censorship
dc.typetext

Files

Collections

arXiv