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dc.contributor.authorMuhammad Abiden_US
dc.contributor.authorNasir Abbasen_US
dc.contributor.authorMuhammad Riazen_US
dc.date.accessioned2019-08-21T09:18:21Z-
dc.date.available2019-08-21T09:18:21Z-
dc.date.issued2016en_US
dc.identifier.citationChiang Mai Journal of Science 43, 1 (Jan 2016), 257 - 269en_US
dc.identifier.issn0125-2526en_US
dc.identifier.urihttp://it.science.cmu.ac.th/ejournal/dl.php?journal_id=6570en_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/66080-
dc.description.abstractDifferent population characteristics of the auxiliary variables have so far been employed to develop ratio estimators for estimating population mean of the study variable. This article comprises developing some new modified ratio estimators using the linear combinations of coefficient of variation, population correlation coefficient and deciles of the auxiliary variable. The mean square errors of all the proposed ratio estimators and the efficiency conditionsare also derived. Numerical illustrationshave beenmade to support the findings of the study.From theoretical and numerical findings, it is noted that the proposed estimators are more efficient as compared to all the existing estimators used in this study.en_US
dc.language.isoEngen_US
dc.publisherScience Faculty of Chiang Mai Universityen_US
dc.subjectBiasen_US
dc.subjectcoefficient ofvariationen_US
dc.subjectcorrelation coefficienten_US
dc.subjectdecilesen_US
dc.subjectmean squared erroren_US
dc.titleImproved Modified Ratio Estimators of Population Mean Based on Decilesen_US
Appears in Collections:CMUL: Journal Articles

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