Bayes factors for grouped data

dc.contributor.authorRaubenheimer, L.
dc.contributor.authorVan der Merwe, A.J.
dc.contributor.otherCentral University of Technology, Free State, Bloemfontein: Journal for New Generation Sciences
dc.date.accessioned2016-06-03T14:09:36Z
dc.date.available2016-06-03T14:09:36Z
dc.date.issued2015
dc.date.issued2015
dc.descriptionPublished Articleen_US
dc.description.abstractIn this paper we apply Bayes factors to grouped data. Group testing is where units are pooled together and tested as a group rather than individually. The Bayes factor is the ratio of the posterior probabilities of the null and the alternative hypotheses divided by the ratio of the prior probabilities for the null and the alternative hypotheses. A beta prior will be used, also known as a conjugate prior for the binomial distribution. An application to mosquito data will be considered, where a comparison is made between West Nile virus (WNV) infection prevalences in field collected Culex nigripalpus mosquitoes trapped at different heights.en_US
dc.format.extent360 716 bytes, 1 file
dc.format.mimetypeApplication/PDF
dc.identifier.issn16844998
dc.identifier.urihttp://hdl.handle.net/11462/806
dc.language.isoen_USen_US
dc.publisherCentral University of Technology, Free State, Bloemfontein: Journal for New Generation Sciences
dc.relation.ispartofseriesJournal for New Generation Sciences;Vol 13, Issue 3
dc.rights.holderJournal for New Generation Sciences
dc.subjectBayes factorsen_US
dc.subjectConjugate prioren_US
dc.subjectGroup testingen_US
dc.titleBayes factors for grouped dataen_US
dc.typeArticleen_US

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