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Investigating the spatial distribution of diabetes in Africa using both classical and Bayesian approaches.

dc.contributor.advisorLogue, Siaka.
dc.contributor.authorSoogun, Adenike Oyelola.
dc.date.accessioned2019-06-11T10:18:41Z
dc.date.available2019-06-11T10:18:41Z
dc.date.created2017
dc.date.issued2017
dc.descriptionMaster of Science in Statistics. University of KwaZulu-Natal, Durban, 2017.en_US
dc.description.abstractAbstract available in PDF file.en_US
dc.identifier.urihttps://researchspace.ukzn.ac.za/handle/10413/16324
dc.language.isoenen_US
dc.subject.otherDiabetes.en_US
dc.subject.otherDiabetes in Africa.en_US
dc.subject.otherSpatial distribution of Diabetes.en_US
dc.titleInvestigating the spatial distribution of diabetes in Africa using both classical and Bayesian approaches.en_US
dc.typeThesisen_US

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