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Bayes And Least-Squares Procedures In Sampling From Finite Populations

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dc.contributor.authorMehrotra, Pretta Latha
dc.date.accessioned2025-11-18T08:03:01Z
dc.date.available2025-11-18T08:03:01Z
dc.date.issued1984-04
dc.description.abstractIn this thesis, we shall consider estimation 1n finite populations under a model-based superpopulation approach using least-squares and Bayesian prediction procedures. Greater emphasis will be placed on the Bayesian inference. The first chapter covers a general preview of the 'classical' fixed population approach and the superpopulation model-based approach, the general survey design framework used and a literature review relevant to this study.
dc.identifier.urihttps://erepo.usm.my/handle/123456789/23113
dc.language.isoen
dc.subjectBayesian statistical decision theory
dc.subjectLeast squares
dc.titleBayes And Least-Squares Procedures In Sampling From Finite Populations
dc.typeResource Types::text::thesis::master thesis
dspace.entity.typePublication
oairecerif.author.affiliationUniversiti Sains Malaysia
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Pusat Pengajian Sains Matematik - Tesis