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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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2008-06-01
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| Series: | Mathematical Modelling and Analysis |
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| Online Access: | https://journals.vgtu.lt/index.php/MMA/article/view/7002 |
| _version_ | 1818385470867898368 |
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| author | Viktoras Chadyšas |
| author_facet | Viktoras Chadyšas |
| author_sort | Viktoras Chadyšas |
| collection | DOAJ |
| description | 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 |
| first_indexed | 2024-12-14T03:38:40Z |
| format | Article |
| id | doaj.art-297239afd7004077b515b94d0450be78 |
| institution | Directory Open Access Journal |
| issn | 1392-6292 1648-3510 |
| language | English |
| last_indexed | 2024-12-14T03:38:40Z |
| publishDate | 2008-06-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Mathematical Modelling and Analysis |
| spelling | doaj.art-297239afd7004077b515b94d0450be782022-12-21T23:18:32ZengVilnius Gediminas Technical UniversityMathematical Modelling and Analysis1392-62921648-35102008-06-0113210.3846/1392-6292.2008.13.195-202Estimation of confidence intervals for quantiles in a finite populationViktoras Chadyšas0Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, LithuaniaConfidence 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 2010https://journals.vgtu.lt/index.php/MMA/article/view/7002quantileconfidence intervalfinite populationbootstrapjackknife |
| spellingShingle | Viktoras Chadyšas Estimation of confidence intervals for quantiles in a finite population Mathematical Modelling and Analysis quantile confidence interval finite population bootstrap jackknife |
| title | Estimation of confidence intervals for quantiles in a finite population |
| title_full | Estimation of confidence intervals for quantiles in a finite population |
| title_fullStr | Estimation of confidence intervals for quantiles in a finite population |
| title_full_unstemmed | Estimation of confidence intervals for quantiles in a finite population |
| title_short | Estimation of confidence intervals for quantiles in a finite population |
| title_sort | estimation of confidence intervals for quantiles in a finite population |
| topic | quantile confidence interval finite population bootstrap jackknife |
| url | https://journals.vgtu.lt/index.php/MMA/article/view/7002 |
| work_keys_str_mv | AT viktoraschadysas estimationofconfidenceintervalsforquantilesinafinitepopulation |