An adaptive estimator of regression model coefficients based on maximization of kernel estimate of likelihood is proposed. Its consistency (in Part 1) and asymptotic normality (in Part 2) is proved. An asymptotic representation of the estimate implies also its asymptotic efficiency.
62F35, 62J05, 62F12, 62G35, 62G07