Empirical Likelihood Inference for Linear EV Models with Missing Responses Problem

Abstract

The empirical likelihood inference for linear EV model with missing responses problem is studied. An adjusted empirical likelihood is developed. It can be shown that the adjusted empirical likelihood ratio is asymptotically standard chi-square. Simulation study indicates that the proposed method performs competitively in terms of the average lengths and coverage probabilities of confidence intervals.