Modelling obesity risk factors among adult females in South Africa via a GLMM: classical and bayesian approaches.
dc.contributor.advisor | Hammujuddy, Mohammad Jahvaid. | |
dc.contributor.author | Pillay, Telissa. | |
dc.date.accessioned | 2018-10-02T12:47:50Z | |
dc.date.available | 2018-10-02T12:47:50Z | |
dc.date.created | 2016 | |
dc.date.issued | 2016 | |
dc.description | Master of Science in Statistics. University of KwaZulu-Natal, Durban 2016. | en_US |
dc.description.abstract | Abstract available in PDF file. | en_US |
dc.identifier.uri | http://hdl.handle.net/10413/15530 | |
dc.language.iso | en_ZA | en_US |
dc.subject | Theses - Statistics. | en_US |
dc.subject.other | Obesity. | en_US |
dc.subject.other | Generalized linear mixed models. | en_US |
dc.subject.other | Bayesian inference. | en_US |
dc.subject.other | Female obesity in South Africa. | en_US |
dc.title | Modelling obesity risk factors among adult females in South Africa via a GLMM: classical and bayesian approaches. | en_US |
dc.type | Thesis | en_US |