Abstract
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.
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