Estimating the population mean using stratified median ranked set sampling

Kamarulzaman Ibrahim, Mahmoud Syam, Amer Ibrahim Al-Omari

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

In this paper, stratified median ranked set sampling (SMRSS) method is suggested for estimating the population mean. The SMRSS is compared with simple random sampling (SRS), stratified simple random sampling (SSRS) and stratified ranked set sampling (SRSS). It is shown that SMRSS estimator is an unbiased of the population mean of symmetric distributions and is more efficient than its counterparts using SRS, SSRS and SRSS.

Original languageEnglish
Pages (from-to)2341-2354
Number of pages14
JournalApplied Mathematical Sciences
Volume4
Issue number45-48
Publication statusPublished - 2010
Externally publishedYes

Keywords

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

ASJC Scopus subject areas

  • Applied Mathematics

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