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

dc.creator	Al-Omari, Amer	es
dc.date	2011-12-10
dc.date.accessioned	2025-03-31T13:17:52Z
dc.date.available	2025-03-31T13:17:52Z
dc.identifier	https://www.revistaproyecciones.cl/index.php/proyecciones/article/view/1166
dc.identifier	10.4067/S0716-09172011000300006
dc.identifier.uri	https://revistaschilenas.uchile.cl/handle/2250/250951
dc.description	Stratified 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
dc.format	application/pdf
dc.language	spa
dc.publisher	Universidad Católica del Norte.	en
dc.relation	https://www.revistaproyecciones.cl/index.php/proyecciones/article/view/1166/1117
dc.rights	Copyright (c) 2011 Proyecciones. Journal of Mathematics	en
dc.source	Proyecciones (Antofagasta, On line); Vol. 30 No. 3 (2011); 351-368	en
dc.source	Proyecciones. Revista de Matemática; Vol. 30 Núm. 3 (2011); 351-368	es
dc.source	0717-6279
dc.title	Investigating the use of stratified percentile ranked set sampling method for estimating the population mean	es
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion