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

Amer Ibrahim Al-Omari; Kamarulzaman Ibrahim; Mahmoud Ibrahim Syam

doi:10.4067/S0716-09172011000300006

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

Amer Ibrahim Al-Omari, Kamarulzaman Ibrahim, Mahmoud Ibrahim Syam

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	351-368
Number of pages	18
Journal	Proyecciones
Volume	30
Issue number	3
DOIs	https://doi.org/10.4067/S0716-09172011000300006
Publication status	Published - Dec 2011
Externally published	Yes

Keywords

Efficiency
Percentile ranked set sampling
Ranked set sampling
Simple random sampling
Stratified ranked set sampling

ASJC Scopus subject areas

Mathematics(all)

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10.4067/S0716-09172011000300006

Cite this

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abstract = "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 = "Efficiency, Percentile ranked set sampling, Ranked set sampling, Simple random sampling, Stratified ranked set sampling",

author = "Al-Omari, {Amer Ibrahim} and Kamarulzaman Ibrahim and Syam, {Mahmoud Ibrahim}",

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AU - Ibrahim, Kamarulzaman

AU - Syam, Mahmoud Ibrahim

PY - 2011/12

Y1 - 2011/12

N2 - 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.

AB - 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.

KW - Efficiency

KW - Percentile ranked set sampling

KW - Ranked set sampling

KW - Simple random sampling

KW - Stratified ranked set sampling

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

Abstract

Keywords

ASJC Scopus subject areas

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