The aim of the paper is to study the problem of estimating the quantile function of a finite population. Attention is first focused on point estimation, and asymptotic results are obtained. Confidence intervals are then constructed, based on both the following: (i) asymptotic results and (ii) a resampling technique based on rescaling the ‘usual’ bootstrap. A simulation study to compare asymptotic and resampling-based results, as well as an application to a real population, is finally performed.

Conti P.L., & Marella D (2015). Inference for quantiles of a finite population: asymptotic versus resampling results. SCANDINAVIAN JOURNAL OF STATISTICS, 42(2), 545-561 [10.1111/sjos.12122].

Inference for quantiles of a finite population: asymptotic versus resampling results.

MARELLA, Daniela
2015

Abstract

The aim of the paper is to study the problem of estimating the quantile function of a finite population. Attention is first focused on point estimation, and asymptotic results are obtained. Confidence intervals are then constructed, based on both the following: (i) asymptotic results and (ii) a resampling technique based on rescaling the ‘usual’ bootstrap. A simulation study to compare asymptotic and resampling-based results, as well as an application to a real population, is finally performed.
Conti P.L., & Marella D (2015). Inference for quantiles of a finite population: asymptotic versus resampling results. SCANDINAVIAN JOURNAL OF STATISTICS, 42(2), 545-561 [10.1111/sjos.12122].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11590/139142
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