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Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/66815
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dc.contributor.authorWuttichai Srisodaphol"en_US
dc.contributor.authorKunjira Kingphaien_US
dc.contributor.authorNipaporn Tanjaien_US
dc.date.accessioned2019-09-17T08:55:04Z-
dc.date.available2019-09-17T08:55:04Z-
dc.date.issued2015en_US
dc.identifier.citationChiang Mai Journal of Science 42, 2 (April 2015), 523 - 527en_US
dc.identifier.issn0125-2526en_US
dc.identifier.urihttp://it.science.cmu.ac.th/ejournal/dl.php?journal_id=5773en_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/66815-
dc.description.abstractThe 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.en_US
dc.language.isoEngen_US
dc.publisherScience Faculty of Chiang Mai Universityen_US
dc.subjectauxiliary variableen_US
dc.subjectmean square erroren_US
dc.subjectratio estimatoren_US
dc.subjectsimple random samplingen_US
dc.titleNew Ratio Estimators of a Population Mean Using One Auxiliary Variable in Simple Random Samplingen_US
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