Abstract:

An adaptive estimator of regression model coefficients based on maximization of kernel estimate of likelihood was proposed and its consistency proved in the Part 1. Asymptotic normality is shown in the Part 2. An asymptotic representation of the estim% ate implies also its asymptotic efficiency.