000			01966caa a2200229 4500
008			210629s9999 xx 000 0 und d
022			_a0973-1903
100			_aBiradar, B.S.
245		0	_aESTIMATION OF THE MEAN OF THE EXPONENTIAL DISTRIBUTIONUSING EXTREME RANKED SET SAMPLING WITH UNEQUAL SAMPLES
260			_c2017
270			_aAll India Institute of Speech and Hearing, University of Mysore, Mysuru - 570 006, India.
270			_aDepartment of Studied in Statistics, University of Mysore, Mysuru - 570 006, India
270			_mbiradarbs1@gmail.com,
270			_mgetsanthoshcd@gmail.com
300			_a393-401
490			_vVolume 13 Issue 2
520			_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
653			_aRanked set sampling, Extreme ranked set sampling, Maximum likelihood estimator, Modified maximum likelihoodestimator, Errors in ranking, Efficiency
700			_aSantosha, C.D.
773			_aInternational Journal of Agricultural Statistical Science
942			_cFJAS _yFJAS
999			_c17842 _d17842