In this work we compare finite population quantile estimators in a simulation study. We consider settings where complete auxiliary information is available, and quantile estimators that are obtained from inversion of several well-known estimators for the population cdf. The simulation results show that estimators based on separate estimates of the regression function and the error distributions are usually the most efficient ones.
DE CAPITANI, L., Pasquazzi, L. (2014). Quantile Estimation with Auxiliary Information: Simulation Results. In 47th Scientific Meeting of the Italian Statistical Society, Proceedings.
Quantile Estimation with Auxiliary Information: Simulation Results
DE CAPITANI, LUCIOPrimo
;PASQUAZZI, LEOSecondo
2014
Abstract
In this work we compare finite population quantile estimators in a simulation study. We consider settings where complete auxiliary information is available, and quantile estimators that are obtained from inversion of several well-known estimators for the population cdf. The simulation results show that estimators based on separate estimates of the regression function and the error distributions are usually the most efficient ones.
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