Convergence rate of the normal approximation for sequential estimators of a probability density and its derivatives

Abstract

Menon et al. (1984) proposed the kernel-type recursive estimators of a density and its derivatives, based on a fixed number of observations. We extend the estimators to the case where the sample size is random. Convergence rates of the normal approximation for the kernel-type sequential estimators are studied.