Estimation and testing the effect of covariates in accelerated life time models under censoring

  • The accelerated lifetime model is considered. To test the influence of the covariate we transform the model in a regression model. Since censoring is allowed this approach leads to a goodness-of-fit problem for regression functions under censoring. So nonparametric estimation of regression functions under censoring is investigated, a limit theorem for a L2-distance is stated and a test procedure is formulated. Finally a Monte Carlo procedure is proposed.

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Metadaten
Author:Hannelore Liero
URN:urn:nbn:de:kobv:517-opus-52823
Series (Serial Number):Mathematische Statistik und Wahrscheinlichkeitstheorie : Preprint / Institut für Mathematik (2010, 02)
Document Type:Book
Language:English
Date of Publication (online):2011/06/30
Year of Completion:2010
Publishing Institution:Universität Potsdam
Release Date:2011/06/30
Tag:Monte Carlo testing; accelerated life time model; censoring; goodness-of-fit testing; nonparametric regression estimation
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Mathematik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
Licence (German):License LogoKeine Nutzungslizenz vergeben - es gilt das deutsche Urheberrecht