UNIFORM CONVERGENCE RATE OF THE NEAREST NEIGHBORHOOD DENSITY ESTIMATORS IN THE CASE OF CENSORED DATA

In this paper, we oonsider the N. N. density estimators under censored data, and study their strong convergence and their rates of convergence. For certain particular censoring, it is shown that the rate of convergence of the density estimators not only reaches the optimal but also improves Chai’s result.