Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/861
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dc.contributor.authorAdeleke, I. A.-
dc.contributor.authorEsan, E. O.-
dc.contributor.authorOkafor, R. O.-
dc.date.accessioned2016-11-02T11:21:50Z-
dc.date.available2016-11-02T11:21:50Z-
dc.date.issued2011-
dc.identifier.issn0855-6768-
dc.identifier.urihttp://hdl.handle.net/123456789/861-
dc.description.abstractThe Horvitz-Thompson estimator is often presented in the context of an estimator based on the concept of variable probability sampling. In truth, however, the Horvitz-Thompson theorem is arguably a lot more versatile than this narrow perspective. The main objective of this article is to review the application of the generalization provided by the Horvitz-Thompson theorem to basic sampling methodology, and to estimators of means and variances. It is further shown that the Horvitz-Thompson estimator also serves as the basis for a general strategy for consistent estimation.en_US
dc.language.isoenen_US
dc.publisherUniversity for Development Studiesen_US
dc.relation.ispartofseriesVol. 5;Issue 1-
dc.subjectHorvitz-Thompson theoremen_US
dc.subjectVariable probability samplingen_US
dc.subjectGeneralization of probability samplingen_US
dc.subjectConsistent estimationen_US
dc.titleHORVITZ-THOMPSON THEOREM AS A TOOL FOR GENERALIZATION OF PROBABILITY SAMPLING TECHNIQUESen_US
dc.typeArticleen_US
Appears in Collections:Ghana Journal of Development Studies (GJDS)

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