01625caa a2200229   4500008004100000022001400041100001700055245007600072260004600148270006100194270007700255270004300332300001000375490002100385520072900406653011101135700001901246773005101265856004701316942001501363999001701378210621s9999    xx            000 0 und d  a2162-8475  aBiradar, B.A 0aEstimation of the Population Mean Based on Extremes Ranked Set Sampling  bScientific & Academic Publishing Coc2015  aAll India Institute of Speech and Hearing, Mysore, India  aDepartment of Studies in Statistics, University of Mysore, Mysore, India  mbiradarbs@statistics.uni-mysore.ac.in   a32-36  vVolume 5 Issue 1  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.  aRanked set sampling, Extremes ranked set sampling, Population mean, Relative efficiency, Errors in Ranking  aSantosha, C. D  aAmerican Journal of Mathematics and Statistics  uhttps://dox.org/10.5923/j.ajms.20150501.05  cFJASyFJAS  c17625d17625