Some variations of ranked set sampling

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Balanced groups ranked set samples method (BGRSS) is suggested for estimating the population mean with samples of size m = 3k where (k =1,2,...). The BGRSS sample mean is considered as an estimator of the population mean. It is found that the BGRSS produces unbiased estimators with smaller variance than the commonly used simple random sampling (SRS) for symmetric distributions considered in this study. For asymmetric distributions that we considered, the BGRSS estimators have a small bias. A real data set is used to illustrate the BGRSS method.

Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalElectronic Journal of Applied Statistical Analysis
Volume1
Issue number1
DOIs
Publication statusPublished - 2008

Fingerprint

Ranked Set Sampling
Ranked Set Sample
Sampling
Estimator
Asymmetric Distribution
Simple Random Sampling
Symmetric Distributions
Unbiased estimator
Sample mean

Keywords

  • Balanced groups ranked set sampling
  • Ranked set sampling
  • Simple random sampling

ASJC Scopus subject areas

  • Statistics and Probability
  • Modelling and Simulation

Cite this

Some variations of ranked set sampling. / Jemain, Abdul Aziz; Al-Omari, Amer; Ibrahim, Kamarulzaman.

In: Electronic Journal of Applied Statistical Analysis, Vol. 1, No. 1, 2008, p. 1-15.

Research output: Contribution to journalArticle

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