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, LUCIO
Primo
;
PASQUAZZI, LEO
Secondo
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.
paper
superpopulation model, local-linear regression, model-based estimator, model-assisted estimator, model-calibrated estimator
English
47th Scientific Meeting of the Italian Statistical Society
2014
47th Scientific Meeting of the Italian Statistical Society, Proceedings
978-88-8467-874-4
2014
http://www.sis2014.it/proceedings/allpapers/2857.pdf
open
DE CAPITANI, L., Pasquazzi, L. (2014). Quantile Estimation with Auxiliary Information: Simulation Results. In 47th Scientific Meeting of the Italian Statistical Society, Proceedings.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/64154
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