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 journalArticle

1 Citation (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 languageEnglish
Pages (from-to)351-368
Number of pages18
JournalProyecciones
Volume30
Issue number3
DOIs
Publication statusPublished - Dec 2011

Fingerprint

Ranked Set Sampling
Percentile
Sampling Methods
Simple Random Sampling
Stratified Random Sampling
Stratified Sampling
Symmetric Distributions
Unbiased estimator
Estimator
Unit

Keywords

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

ASJC Scopus subject areas

  • Mathematics(all)

Cite this

Investigating the use of stratified percentile ranked set sampling method for estimating the population mean. / Al-Omari, Amer Ibrahim; Ibrahim, Kamarulzaman; Syam, Mahmoud Ibrahim.

In: Proyecciones, Vol. 30, No. 3, 12.2011, p. 351-368.

Research output: Contribution to journalArticle

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