Asymptotic normality in a Semiparametric partially linear model with right–censored data

Abstract

The effect of incomplete observation characteristics in a semiparametric partiaEly linear model is examined. To construct estimate of interest–inparameter, synthetic data and generalized profile likelihood, are employed. It is shown that the resulting estimator as asymptotic normal under mild assumptions. Simulations are also presented to explain the behavior of the estimate in the case of small–samples.