Simulation extrapolation deconvolution of finite population cumulative distribution function estimators

We study estimation of a finite population cumulative distribution function when sample units are measured with error. We propose a simple, bias-adjusted estimator that eliminates much of the bias induced by measurement error. A variance estimator for the proposed cumulative distribution function estimator is also obtained.