On Consistency of a Kernel Estimate of a Density Function

Abstract

Given a sequence of i. i. d. random variables the Lr(r⩾ 1) convergence of kernel type estimators of their common density function is studied. Also, strong consistency of the estimators is considered in the case when the random variables form a stationary sequence not necessarily i. i. d.