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Using Bayesian approach to optimize some Microbiology data

dc.contributor.authorHossain, Ahmed
dc.date.accessioned2010-10-18T09:02:45Z
dc.date.available2010-10-18T09:02:45Z
dc.date.issued2006
dc.description.abstractThe main purpose of this paper is to use Bayesian technique for identifying the conditions under which the bacteria growth is optimal. Such kind of analysis is important in microbiology when bacteria need culture in an optimum manner, so they can be identified, before adequate antibiotics can be developed. The dataset was collected under three different conditions which can be found in Binnie (2004). Therefore our interest lies in investigating how these three covariates are affecting the measurements of Bacteria count.en_US
dc.identifier.urihttp://hdl.handle.net/10361/552
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.relation.ispartofseriesBRAC University Journal, BRAC University;Vol.3. No. 1, pp.65-69
dc.subject3-way ANOVAen_US
dc.subjectPosterior distributionen_US
dc.subjectMCMCen_US
dc.subjectconvergence diagonosticen_US
dc.titleUsing Bayesian approach to optimize some Microbiology dataen_US
dc.typeArticleen_US

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