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In this article we study inference in parametric—nonparametric errors-in-covariables regression models using an empirical likelihood approach based on validation data. It is shown that the asymptotic ...
Certain important nonlinear regression models lead to biased estimates of treatment effect, even in randomized experiments, if needed covariates are omitted. The asymptotic bias is determined both for ...
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