Author(s)

B. S. Biradar¹, C. D. Santosha²

¹Department of Studies in Statistics, University of Mysore, Mysore, India.
²All India Institute of Speech and Hearing, Mysore, India.

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.

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

Biradar, B. and Santosha, C. (2015) Estimation of the Population Mean Using Paired Ranked Set Sampling. Open Journal of Statistics, 5, 97-103. doi: 10.4236/ojs.2015.52012.