The efficiency of stratified quartile ranked set sampling in estimating the population mean

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

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In this paper, new modified ranked set sampling method is suggested for estimating the population mean, namely, stratified quartile ranked set sampling (SQRSS). The SQRSS is compared with simple random sampling (SRS), stratified simple random sampling (SSRS) and stratified ranked set sampling (SRSS) methods. It is found that the SQRSS estimators are unbiased of the population mean of symmetric distributions. Also, it turns out that the SQRSS is more efficient than its counterparts using SRS, SSRS and SRSS based on the same number of measured units.

Original languageEnglish
Pages (from-to)175-190
Number of pages16
JournalTamsui Oxford Journal of Information and Mathematical Sciences
Volume28
Issue number2
Publication statusPublished - 2012

Fingerprint

Quartile
Ranked Set Sampling
Simple Random Sampling
Stratified Random Sampling
Stratified Sampling
Sampling Methods
Symmetric Distributions
Estimator
Unit

Keywords

  • Quartile ranked set sampling
  • Ranked set sampling
  • Simple random sampling
  • Stratified ranked set sampling

ASJC Scopus subject areas

  • Mathematics(all)

Cite this

The efficiency of stratified quartile ranked set sampling in estimating the population mean. / Syam, Mahmoud Ibrahim; Ibrahim, Kamarulzaman; Al-Omari, Amer Ibrahim.

In: Tamsui Oxford Journal of Information and Mathematical Sciences, Vol. 28, No. 2, 2012, p. 175-190.

Research output: Contribution to journalArticle

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