Balci, S., Akkaya, A.D. and Ulgen, B.E. (2013) Modified Maximum Likelihood Estimators Using Ranked Set Sampling. Journal of Computational and Applied Mathematics, 238,171-179.
http://dx.doi.org/10.1016/j.cam.2012.08.030

has been cited by the following article:

• TITLE: Estimation of the Population Mean Using Paired Ranked Set Sampling

  AUTHORS: B. S. Biradar, C. D. Santosha

  KEYWORDS: Ranked Set Sampling, Paired Ranked Set Sampling, Population Mean, Relative Efficiency, Errors in Ranking

  JOURNAL NAME: Open Journal of Statistics, Vol.5 No.2, April 13, 2015

  ABSTRACT: In the situation where the sampling units in a study can be easily ranked than quantified, the ranked set sampling methods are found to be more efficient and cost effective as compared to SRS. In this paper we propose an estimator of the population mean using paired ranked set sampling (RSS) method. The proposed estimator is an unbiased estimator of the population mean when the set size is even. In case of odd set size the estimator is unbiased when the underlying distribution is symmetric. It is shown that the proposed estimator is more efficient than its counterpart SRS method for all distributions considered in this study.