Smooth kernel estimators of the hazard rate function and its first and second derivatives

Abstract

A class of nonparametric kernel estimators is suggested for an unknown hazard rate function and its derivatives. Both weak and mean square convergence of the proposed estimators to the unknown hazard function and its derivatives are proved. These estimators can be used for solving the problems of operational reliability of complex physical, technical, and program systems under uncertainty conditions.