01966caa a2200229 4500 210629s9999 xx 000 0 und d 0973-1903 Biradar, B.S. ESTIMATION OF THE MEAN OF THE EXPONENTIAL DISTRIBUTIONUSING EXTREME RANKED SET SAMPLING WITH UNEQUAL SAMPLES 2017 All India Institute of Speech and Hearing, University of Mysore, Mysuru - 570 006, India. Department of Studied in Statistics, University of Mysore, Mysuru - 570 006, India biradarbs1@gmail.com, getsanthoshcd@gmail.com 393-401 Volume 13 Issue 2 In many environmental studies, the main focus is on observational economy, that is to obtain data on the basis ofcost effective and efficient sampling methods. In this paper, a ranked set sampling procedure with unequal samples based onextremes (ERSSU) is proposed, which reduces the cost and increases the precision of the estimator. Maximum likelihoodestimator and modified maximum likelihood estimators are obtained and their properties are studied when the underlyingdistribution is exponential. These methods are studied under both perfect and imperfect ranking (with errors in ranking).These estimators are then compared with estimators based on simple random sampling (SRS) and ranked set sampling (RSS)procedures. It is shown that relative efficiencies of the estimators based on ERSSU are better than those of the estimatorbased on SRS. Simulation results show that efficiency of proposed estimator is better than estimators based on SRS and RSS,when errors in ranking are present Ranked set sampling, Extreme ranked set sampling, Maximum likelihood estimator, Modified maximum likelihoodestimator, Errors in ranking, Efficiency Santosha, C.D. International Journal of Agricultural Statistical Science FJAS FJAS 17842 17842