Modified Compromized Type Method of Imputation for Estimating Population Mean

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dc.contributor.authorAliyu, Y. H.
dc.contributor.authorAdewara, A. A.
dc.contributor.authorAhmed, A.
dc.contributor.authorAbidoye, O. A.
dc.contributor.authorSulaiman, I.
dc.contributor.authorAliyu, M. B.
dc.date.accessioned2023-06-22T13:38:28Z
dc.date.available2023-06-22T13:38:28Z
dc.date.issued2022
dc.description.abstractThe study proposed an alternative imputation scheme for the schemes which converged to sample mean as the values of unknown parameters in their estimators converged to zero. The estimator of the population means for the proposed scheme as well as the bias and MSE were derived. The efficiency condition under which the modified estimator is more efficient than existing ones were also presented. Empirical study using four sets of populations was conducted and the results revealed that the proposed estimator was more efficienten_US
dc.description.sponsorshipSelfen_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11232
dc.language.isoenen_US
dc.publisherJournal of Scientific Research of The Banaras Hindu Universityen_US
dc.subjectEstimator; Population mean; Imputation scheme; Bias; Mean Squared Error (MSE)en_US
dc.titleModified Compromized Type Method of Imputation for Estimating Population Meanen_US
dc.typeArticleen_US

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