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Modelling obesity risk factors among adult females in South Africa via a GLMM: classical and bayesian approaches.

dc.contributor.advisorHammujuddy, Mohammad Jahvaid.
dc.contributor.authorPillay, Telissa.
dc.date.accessioned2018-10-02T12:47:50Z
dc.date.available2018-10-02T12:47:50Z
dc.date.created2016
dc.date.issued2016
dc.descriptionMaster of Science in Statistics. University of KwaZulu-Natal, Durban 2016.en_US
dc.description.abstractAbstract available in PDF file.en_US
dc.identifier.urihttp://hdl.handle.net/10413/15530
dc.language.isoen_ZAen_US
dc.subjectTheses - Statistics.en_US
dc.subject.otherObesity.en_US
dc.subject.otherGeneralized linear mixed models.en_US
dc.subject.otherBayesian inference.en_US
dc.subject.otherFemale obesity in South Africa.en_US
dc.titleModelling obesity risk factors among adult females in South Africa via a GLMM: classical and bayesian approaches.en_US
dc.typeThesisen_US

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