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dc.contributor.authorSingh, Ranjodh
dc.contributor.authorChan, F.
dc.contributor.authorHarris, Mark
dc.contributor.editorWeber, T
dc.contributor.editorMcPhee, MJ
dc.contributor.editorAnderssen, RS
dc.date.accessioned2020-03-19T07:57:55Z
dc.date.available2020-03-19T07:57:55Z
dc.date.issued2015
dc.identifier.citationSingh, R. and Chan, F. and Harris, M.N. 2015. Modelling Body Mass Index Distribution using Maximum Entropy Density, in Proceedings of the 21st International Congress on Modelling and Simulation, Nov 28 - Dec 4 2015. Gold Coast, Queensland: Modelling and Simulation Society of Australia and New Zealand (MODSIM).
dc.identifier.urihttp://hdl.handle.net/20.500.11937/78300
dc.identifier.doi10.36334/MODSIM.2015.E5.chan2
dc.description.abstract

The objective of this paper is to model the distribution of Body Mass Index (BMI) for a given set of covariates. BMI is one of the leading indicators of health and has been studied by health professionals for many years. As such, there have been various approaches to model the distribution of BMI. Furthermore, there are numerous studies which investigate the association between an individual’s physical and socio-economic attributes (covariates) to their BMI levels. This paper proposes the use of Maximum Entropy Density (MED) to model the distribution of BMI using information from covariates. The paper shows how covariates can be incorporated into the MED framework. This framework is then applied to an Australian data set. The results show how different covariates affect different moments of the estimated BMI distribution.

dc.rights.urihttp://creativecommons.org/licenses/by/4.0
dc.titleModelling Body Mass Index Distribution using Maximum Entropy Density
dc.typeConference Paper
dcterms.source.startPage1036
dcterms.source.endPage1042
dcterms.source.isbn978-0-9872143-5-5
dcterms.source.conference21st International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand
dcterms.source.conference-start-date28 Nov 2015
dcterms.source.conferencelocationGold Coast, Queensland
dcterms.source.placehttps://www.mssanz.org.au/modsim2015/E5/chan2.pdf
dc.date.updated2020-03-19T07:57:55Z
curtin.departmentSchool of Economics, Finance and Property
curtin.accessStatusOpen access
curtin.facultyFaculty of Business and Law
curtin.contributor.orcidSingh, Ranjodh [0000-0003-3370-5659]
curtin.contributor.orcidHarris, Mark [0000-0002-1804-4357]
dcterms.source.conference-end-date2 Dec 2015
curtin.contributor.scopusauthoridHarris, Mark [35561581200] [55310794400]


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