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.
Titolo: | Inference for quantiles of a finite population: asymptotic versus resampling results. |
Autori: | |
Data di pubblicazione: | 2015 |
Rivista: | |
Citazione: | 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. |
Handle: | http://hdl.handle.net/11590/139142 |
Appare nelle tipologie: | 1.1 Articolo in rivista |