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A residual-based empirical distribution function is proposed to estimate thedistribution function of the errors of a heteroskedastic nonparametricregression with responses missing at random based on completely observed data,and this estimator is shown to be asymptotically most precise.

Efficient estimation of the error distribution function in heteroskedastic nonparametric regression with missing data