New Ratio Estimators of a Population Mean Using One Auxiliary Variable in Simple Random Sampling
The new ratio estimators of a population mean using one auxiliary variable in simple random sampling are introduced. The efficiency of these estimators are compared with the ratio estimators proposed by Sisodia and Dwivedi (1981), Singh and Kakran (1993) and, Upadhyaya and Singh (1999) on the basis...
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Science Faculty of Chiang Mai University
2019
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th-cmuir.6653943832-668152019-09-17T08:55:04Z New Ratio Estimators of a Population Mean Using One Auxiliary Variable in Simple Random Sampling Wuttichai Srisodaphol" Kunjira Kingphai Nipaporn Tanjai auxiliary variable mean square error ratio estimator simple random sampling The new ratio estimators of a population mean using one auxiliary variable in simple random sampling are introduced. The efficiency of these estimators are compared with the ratio estimators proposed by Sisodia and Dwivedi (1981), Singh and Kakran (1993) and, Upadhyaya and Singh (1999) on the basis of mean square error up to the first degree approximation. The results revealed that, under some conditions, the efficiency of ours estimators are higher. In addition, the theoretical of mean square error of the estimators are illustrated with numerical computation. 2019-09-17T08:55:04Z 2019-09-17T08:55:04Z 2015 Chiang Mai Journal of Science 42, 2 (April 2015), 523 - 527 0125-2526 http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=5773 http://cmuir.cmu.ac.th/jspui/handle/6653943832/66815 Eng Science Faculty of Chiang Mai University |
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auxiliary variable mean square error ratio estimator simple random sampling |
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auxiliary variable mean square error ratio estimator simple random sampling Wuttichai Srisodaphol" Kunjira Kingphai Nipaporn Tanjai New Ratio Estimators of a Population Mean Using One Auxiliary Variable in Simple Random Sampling |
description |
The new ratio estimators of a population mean using one auxiliary variable in simple random sampling are introduced. The efficiency of these estimators are compared with the ratio estimators proposed by Sisodia and Dwivedi (1981), Singh and Kakran (1993) and, Upadhyaya and Singh (1999) on the basis of mean square error up to the first degree approximation. The results revealed that, under some conditions, the efficiency of ours estimators are higher. In addition, the theoretical of mean square error of the estimators are illustrated with numerical computation. |
author |
Wuttichai Srisodaphol" Kunjira Kingphai Nipaporn Tanjai |
author_facet |
Wuttichai Srisodaphol" Kunjira Kingphai Nipaporn Tanjai |
author_sort |
Wuttichai Srisodaphol" |
title |
New Ratio Estimators of a Population Mean Using One Auxiliary Variable in Simple Random Sampling |
title_short |
New Ratio Estimators of a Population Mean Using One Auxiliary Variable in Simple Random Sampling |
title_full |
New Ratio Estimators of a Population Mean Using One Auxiliary Variable in Simple Random Sampling |
title_fullStr |
New Ratio Estimators of a Population Mean Using One Auxiliary Variable in Simple Random Sampling |
title_full_unstemmed |
New Ratio Estimators of a Population Mean Using One Auxiliary Variable in Simple Random Sampling |
title_sort |
new ratio estimators of a population mean using one auxiliary variable in simple random sampling |
publisher |
Science Faculty of Chiang Mai University |
publishDate |
2019 |
url |
http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=5773 http://cmuir.cmu.ac.th/jspui/handle/6653943832/66815 |
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1681426525386178560 |