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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have