Estimation of confidence intervals for quantiles in a finite population

Confidence intervals provide a way of reporting an estimate of a population quantile along with some information about the precision of estimates. Some procedures that may be used to obtain estimates of confidence intervals for quantiles in a finite population (most of which are based on resampling)...

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Bibliographic Details
Main Author: Viktoras Chadyšas
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2008-06-01
Series:Mathematical Modelling and Analysis
Subjects:
Online Access:https://journals.vgtu.lt/index.php/MMA/article/view/7002
Description
Summary:Confidence intervals provide a way of reporting an estimate of a population quantile along with some information about the precision of estimates. Some procedures that may be used to obtain estimates of confidence intervals for quantiles in a finite population (most of which are based on resampling) are compared in the paper. A simulation study, based on two different artificial populations, is performed and comparisons of the estimation methods proposed for confidence intervals of population quantiles are made. First Published Online: 14 Oct 2010
ISSN:1392-6292
1648-3510