01910caa a2200205   4500008004100000022001400041100001900055245012400074260000900198270009400207270008700301270002600388270002800414300001200442490002300454520099400477653015201471700001901623773006201642210629s9999    xx            000 0 und d  a0973-1903  aBiradar, B.S.  0aESTIMATION  OF  THE  MEAN  OF  THE  EXPONENTIAL  DISTRIBUTIONUSING  EXTREME RANKED  SET SAMPLING  WITH UNEQUAL  SAMPLES  c2017  aAll India Institute of Speech and Hearing, University of Mysore, Mysuru - 570 006, India.  aDepartment of Studied in Statistics, University of Mysore, Mysuru - 570 006, India  mbiradarbs1@gmail.com,  mgetsanthoshcd@gmail.com  a393-401  vVolume 13  Issue 2  aIn 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  aRanked set sampling, Extreme ranked set sampling, Maximum likelihood estimator, Modified maximum likelihoodestimator, Errors in ranking, Efficiency  aSantosha, C.D.  aInternational Journal of Agricultural Statistical Science