SciELO - Scientific Electronic Library Online

 
vol.30 issue3Evolution of Weyl's Gauge Invariant Geometry under Ricci FlowSchauder basis in a locally K - convex space and perfect sequence spaces author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Proyecciones (Antofagasta)

version ISSN 0716-0917

Abstract

AL-OMARI, Amer Ibrahim; KAMARULZAMAN, Ibrahim  and  SYAM, Mahmoud Ibrahim. Investigating the Use of Stratified Percentile Ranked Set Sampling Method for Estimating the Population Mean. Proyecciones (Antofagasta) [online]. 2011, vol.30, n.3, pp. 351-368. ISSN 0716-0917.  doi: 10.4067/S0716-09172011000300006.

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.

Keywords : Simple random sampling; ranked set sampling; per-centile ranked set sampling; efficiency; stratified ranked set sampling.

        · text in English     · pdf in English