000			01625caa a2200229 4500
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022			_a2162-8475
100			_aBiradar, B.A
245		0	_aEstimation of the Population Mean Based on Extremes Ranked Set Sampling
260			_bScientific & Academic Publishing Co _c2015
270			_aAll India Institute of Speech and Hearing, Mysore, India
270			_aDepartment of Studies in Statistics, University of Mysore, Mysore, India
270			_mbiradarbs@statistics.uni-mysore.ac.in
300			_a32-36
490			_vVolume 5 Issue 1
520			_aThis paper is concerned with ranked set sampling theory which is useful to estimate the population mean when the order of a sample of small size can be found without measurements or with other methods. In practice ranking a sample of moderate size and observing the i-th ranked unit (ranking of middle ordered units) is a difficult task. Therefore, in this paper we propose two estimators of the population mean based on extremes ranked set sampling methods. The proposed estimators are unbiased for the population mean when the underlying distribution is symmetric. It is shown that the proposed estimators are more efficient than their counter part simple random sampling method for distributions considered in this study.
653			_aRanked set sampling, Extremes ranked set sampling, Population mean, Relative efficiency, Errors in Ranking
700			_aSantosha, C. D
773			_aAmerican Journal of Mathematics and Statistics
856			_uhttps://dox.org/10.5923/j.ajms.20150501.05
942			_cFJAS _yFJAS
999			_c17625 _d17625