MODIFIED RATIO-CUM-PRODUCT ESTIMATORS OF POPULATION MEAN IN LINEAR SYTEMATIC SAMPLING UNDER TWO-PHASE SAMPLING SCHEME

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dc.contributor.authorAbioye, J. O.
dc.contributor.authorAdewara, A. A.
dc.contributor.authorAudu, A.
dc.contributor.authorAmoyedo, F. E.
dc.date.accessioned2023-06-22T13:37:34Z
dc.date.available2023-06-22T13:37:34Z
dc.date.issued2019
dc.description.abstractThis paper is basically aimed at suggesting two modified ratio-cum-product estimators having two auxiliary variables, under the linear systematic sampling. These suggested ratio-cum-product modified estimators under the two-phase sampling scheme were suggested using linear transformation technique, the biases and mean squared errors (MSEs) of the corresponding modified estimators under cases I and II were derived and established (where Case I refers to the case whereby the second sample is drawn from the first sample and Case II refers to the case whereby the second sample is drawn from the main population under study), the efficiency conditions under which the two modified estimators would be more efficient than relative existing ones were derived and established and the relative efficiency of these modified estimators were empirically determined and established using five real life data sets which were obtained from various sources. From the results of the empirical study using real life data sets, it was concluded that the suggested modified estimators in this study demonstrated high relative efficiency over existing related estimatorsen_US
dc.description.sponsorshipTETfunden_US
dc.identifier.issn24085162
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11231
dc.language.isoenen_US
dc.publisherFUW Trends in Science & Technology Journalen_US
dc.subjectEfficiency, finite population, mean squared error, ratio estimator, varianceen_US
dc.titleMODIFIED RATIO-CUM-PRODUCT ESTIMATORS OF POPULATION MEAN IN LINEAR SYTEMATIC SAMPLING UNDER TWO-PHASE SAMPLING SCHEMEen_US
dc.typeArticleen_US

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