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Investigating the use of stratified percentile ranked set sampling method for estimating the population mean

dc.creatorAl-Omari, Amer
dc.date2011-12-10
dc.date.accessioned2019-11-14T11:58:50Z
dc.date.available2019-11-14T11:58:50Z
dc.identifierhttps://www.revistaproyecciones.cl/article/view/1166
dc.identifier10.4067/S0716-09172011000300006
dc.identifier.urihttps://revistaschilenas.uchile.cl/handle/2250/112957
dc.descriptionStratified percentile ranked set sampling (SPRSS) method is suggested for estimating the population mean. The SPRSS is compared with the simple random sampling (SRS), stratified simple random sampling (SSRS) and stratified ranked set sampling (SRSS). It is shown that SPRSS estimator is an unbiased estimator of the population mean of symmetric distributions and is more efficient than its counterparts using SRS, SSRS and SRSS based on the same number of measured units.es-ES
dc.formatapplication/pdf
dc.languagespa
dc.publisherUniversidad Católica del Norte.es-ES
dc.relationhttps://www.revistaproyecciones.cl/article/view/1166/1117
dc.rightsDerechos de autor 2011 Proyecciones. Journal of Mathematicses-ES
dc.sourceProyecciones. Journal of Mathematics; Vol 30 No 3 (2011); 351-368en-US
dc.sourceProyecciones. Revista de Matemática; Vol. 30 Núm. 3 (2011); 351-368es-ES
dc.source0717-6279
dc.source0716-0917
dc.subjectSimple random samplinges-ES
dc.subjectRanked set samplinges-ES
dc.subjectPercentile ranked set samplinges-ES
dc.subjectEfficiencyes-ES
dc.subjectStratified ranked set sampling.es-ES
dc.titleInvestigating the use of stratified percentile ranked set sampling method for estimating the population meanes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArtículo revisado por pareses-ES


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