Comparison of Some Sample Selection Procedures In Probability Proportional to Size

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dc.contributor.authorDawodu, O. O.
dc.contributor.authorAdewara, A. A.
dc.date.accessioned2023-06-22T13:43:18Z
dc.date.available2023-06-22T13:43:18Z
dc.date.issued2016
dc.description.abstractThe importance of probability proportional to size sampling cannot be over emphasized. In recent times, Statisticians often work on complex survey data which involve weighting, as a result of the unequal probability nature of units. There is need to work on design weights, which is defined as the inverse of the probability of inclusion of single unit in the sample. Two simulated data sets are generated using ܴin order to obtain the probability of inclusion of single unit and also the joint probability of inclusion of units in the sample. Auxiliary variables and variables of interest were generated in such a way that there exists reasonable correlation between both. A procedure for selecting samples with probability proportional to size nature without replacement was proposed. This procedure could be used with Horvitz and Thompson estimator of variance. The variance estimates are obtained using the modified sample selection procedure and an existing procedure, and results obtained. For the two data sets, it is observed that the modified procedure is more efficient than the existing one.en_US
dc.description.sponsorshipselfen_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11234
dc.language.isoenen_US
dc.publisherICASTOR Journal of Engineeringen_US
dc.subjectInclusion probability, probability sampling, sampling scheme, unequal probability sampling, sampling without replacement.en_US
dc.titleComparison of Some Sample Selection Procedures In Probability Proportional to Sizeen_US
dc.typeArticleen_US

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