Imputed Empirical Likelihood for Partially Linear Models with Covariate Data Missing at Random

摘要

Partially linear models with covariate data missing at random are considered,the imputed empirical likelihood method is proposed.The proposed empirical log-likelihood ratio is proven to be asymptotically chi-squared,and the corresponding confidence regions for the regression coefficients are then constructed.