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 details:Hannelore Liero
URN:urn:nbn:de:kobv:517-opus-52823
Publication series (Volume number):Mathematische Statistik und Wahrscheinlichkeitstheorie : Preprint (2010, 02)
Publication type:Monograph/Edited Volume
Language:English
Publication year: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
DDC classification:5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
License (German):License LogoKeine öffentliche Lizenz: Unter Urheberrechtsschutz
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