Efficiency in Double Sampling under a Particular Linear Regression Model

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dc.contributor.authorAdewara, A. A.
dc.date.accessioned2023-06-07T09:34:34Z
dc.date.available2023-06-07T09:34:34Z
dc.date.issued2015
dc.description.abstractIn this study, three regression and mean per unit estimators in double sampling under a particular linear regression were proposed using Monte Carlo Method through simulation and from the estimated mean square errors obtained on these estimators, we observed that one of the newly proposed regression estimator, performed better and hence, preferred.en_US
dc.description.sponsorshipselfen_US
dc.identifier.citationDouble sampling, Estimators, Linear Regression, Monte Carlo Method, Simulationen_US
dc.identifier.issn2408 - 4840
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11040
dc.language.isoenen_US
dc.publisherFaculty of Physical Sciences, University of Ilorinen_US
dc.subjectDouble Sampling, Estimators, Linear Regression, Monte Carlo Method, Simulationen_US
dc.titleEfficiency in Double Sampling under a Particular Linear Regression Modelen_US
dc.typeArticleen_US

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