Snow
All India Institute of Speech and Hearing, Mysuru
(An Autonomous institute Under Ministry of Health and Family Welfare, Government of India.)

Library and Information Center

ESTIMATION OF THE MEAN OF THE EXPONENTIAL DISTRIBUTIONUSING EXTREME RANKED SET SAMPLING WITH UNEQUAL SAMPLES (Record no. 17842)

MARC details
000 -LEADER
fixed length control field 01966caa a2200229 4500
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0973-1903
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Biradar, B.S.
245 #0 - TITLE STATEMENT
Title ESTIMATION OF THE MEAN OF THE EXPONENTIAL DISTRIBUTIONUSING EXTREME RANKED SET SAMPLING WITH UNEQUAL SAMPLES
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2017
270 ## - ADDRESS
Address All India Institute of Speech and Hearing, University of Mysore, Mysuru - 570 006, India.
270 ## - ADDRESS
Address Department of Studied in Statistics, University of Mysore, Mysuru - 570 006, India
270 ## - ADDRESS
Electronic mail address biradarbs1@gmail.com,
270 ## - ADDRESS
Electronic mail address getsanthoshcd@gmail.com
300 ## - PHYSICAL DESCRIPTION
Extent 393-401
490 ## - SERIES STATEMENT
Volume/sequential designation Volume 13 Issue 2
520 ## - SUMMARY, ETC.
Summary, etc. 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
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Ranked set sampling, Extreme ranked set sampling, Maximum likelihood estimator, Modified maximum likelihoodestimator, Errors in ranking, Efficiency
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Santosha, C.D.
773 ## - HOST ITEM ENTRY
Main entry heading International Journal of Agricultural Statistical Science
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Faculty Publications
-- FJAS

No items available.