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ISSN: 1549-3644 (Print)
ISSN: 1558-6359 (Online)
Research Article Open Access

Modified Ratio-Type Estimators of the Mean using Extreme Ranked Set Sampling

Amer Ibrahim Al-Omari, Khalifa Jaber and Ahmad Al-Omari

Abstract

Modified ratio-type estimators of the population mean were suggested using the first or third quartiles of the auxiliary variable based on Simple Random Sampling (SRS) and Extreme Ranked Set Sampling (ERSS) methods. It was found that, the ERSS was more efficient than the SRS based on the same sample size. Also, the ERSS involving the first quartile was superior to the third quartile.

Journal of Mathematics and Statistics
Volume 4 No. 3, 2008, 150-155

DOI: https://doi.org/10.3844/jmssp.2008.150.155

Submitted On: 2 February 2008 Published On: 30 September 2008

How to Cite: Al-Omari, A. I., Jaber, K. & Al-Omari, A. (2008). Modified Ratio-Type Estimators of the Mean using Extreme Ranked Set Sampling. Journal of Mathematics and Statistics, 4(3), 150-155. https://doi.org/10.3844/jmssp.2008.150.155

Open AccessCopyright: © 2008 Amer Ibrahim Al-Omari, Khalifa Jaber and Ahmad Al-Omari. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Auxiliary variable
  • ratio estimator
  • simple random sampling
  • extreme ranked set sampling