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Weak convergence of the bootstrapped conditional kaplan-meier process and its quantile process

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Van Keilegom, Ingrid [UCL] Veraverbeke, Noël

We consider a fixed design regression model in which the observations are subject to random right censoring. We establish weak convergence results for Beran's conditional Kaplan-Meier estimator and the corresponding quantile estimator, as well as for their bootstrapped versions. This enables us to construct bootstrap confidence bands for both the distribution and the quantile function.

Document type Article de périodique (Journal article) – Article de recherche
Publication date 1997
Language Anglais
Journal information "Communications in Statistics: Theory and Methods" - Vol. 26, no.4, p. 853-869 (1997)
Peer reviewed yes
Publisher Taylor & Francis Inc. (Philadelphia)
issn 0361-0926
e-issn 1532-415X
Publication status Publié
Affiliation Limburgs universitair Centrum
Links
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Bibliographic reference Van Keilegom, Ingrid ; Veraverbeke, Noël. Weak convergence of the bootstrapped conditional kaplan-meier process and its quantile process. In: Communications in Statistics: Theory and Methods, Vol. 26, no.4, p. 853-869 (1997)
Permanent URL http://hdl.handle.net/2078/162314