Ratio-Cum-Product Estimator using Multiple Auxiliary Attributes in Single Phase Sampling

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dc.contributor.authorKung’u, John
dc.contributor.authorOdongo, Leo
dc.date.accessioned2018-02-09T12:20:37Z
dc.date.available2018-02-09T12:20:37Z
dc.date.issued2014-06
dc.descriptionhttp://dx.doi.org/10.4236/ojs.2014.44023en_US
dc.description.abstractIn this paper, we have proposed a class of ratio-cum-product estimator for estimating population mean of study variable for single phase sampling using multi-auxiliary attributes. The expressions for mean square error are derived. An empirical study is given to compare the performance of the estimator with existing estimators. It has been found that the ratio-cum-product estimator using multiple auxiliary attributes is more efficient than mean per unit, product and ratio estimators using one auxiliary attribute, and Product and Ratio estimators using multiple auxiliary attributes in single phase sampling. Keywords: Ratio-Cum-Product Estimator, Multiple Auxiliary Attributes, Single Phase Sampling, Bi-Serial Correlation Coefficienten_US
dc.identifier.citationOpen Journal of Statistics, 2014, 4, pg. 239-245; http://www.scirp.org/journal/ojs, http://dx.doi.org/10.4236/ojs.2014.44023en_US
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/18197
dc.language.isoenen_US
dc.publisherScientific Research Publishingen_US
dc.subjectRatio-Cum-Product Estimatoren_US
dc.subjectMultiple Auxiliary Attributesen_US
dc.subjectSingle Phase Samplingen_US
dc.subjectBi-Serial Correlation Coefficienten_US
dc.titleRatio-Cum-Product Estimator using Multiple Auxiliary Attributes in Single Phase Samplingen_US
dc.typeArticleen_US
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