A Central Limit Theorem for a Nonparametric Maximum Conditional Hazard Rate Estimator in Presence of Right Censoring

Abstract

In this paper, we consider a non-parametric kernel type estimator of the time where a  hazard rate function is maximum in the presence of covariate and right censoring. Via a strong representation of the estimator, we establish weak convergence and asymptotic normality results.