Estimating the population mean using stratified median ranked set sampling

Kamarulzaman Ibrahim, Mahmoud Syam, Amer Ibrahim Al-Omari

Research output: Contribution to journalArticle

5 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

Fingerprint

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

Keywords

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

ASJC Scopus subject areas

  • Applied Mathematics

Cite this

Estimating the population mean using stratified median ranked set sampling. / Ibrahim, Kamarulzaman; Syam, Mahmoud; Al-Omari, Amer Ibrahim.

In: Applied Mathematical Sciences, Vol. 4, No. 45-48, 2010, p. 2341-2354.

Research output: Contribution to journalArticle

Ibrahim, Kamarulzaman ; Syam, Mahmoud ; Al-Omari, Amer Ibrahim. / Estimating the population mean using stratified median ranked set sampling. In: Applied Mathematical Sciences. 2010 ; Vol. 4, No. 45-48. pp. 2341-2354.
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