Modelling Body Mass Index Distribution using Maximum Entropy Density
dc.contributor.author | Singh, Ranjodh | |
dc.contributor.author | Chan, F. | |
dc.contributor.author | Harris, Mark | |
dc.contributor.editor | Weber, T | |
dc.contributor.editor | McPhee, MJ | |
dc.contributor.editor | Anderssen, RS | |
dc.date.accessioned | 2020-03-19T07:57:55Z | |
dc.date.available | 2020-03-19T07:57:55Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Singh, 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.uri | http://hdl.handle.net/20.500.11937/78300 | |
dc.identifier.doi | 10.36334/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.uri | http://creativecommons.org/licenses/by/4.0 | |
dc.title | Modelling Body Mass Index Distribution using Maximum Entropy Density | |
dc.type | Conference Paper | |
dcterms.source.startPage | 1036 | |
dcterms.source.endPage | 1042 | |
dcterms.source.isbn | 978-0-9872143-5-5 | |
dcterms.source.conference | 21st International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand | |
dcterms.source.conference-start-date | 28 Nov 2015 | |
dcterms.source.conferencelocation | Gold Coast, Queensland | |
dcterms.source.place | https://www.mssanz.org.au/modsim2015/E5/chan2.pdf | |
dc.date.updated | 2020-03-19T07:57:55Z | |
curtin.department | School of Economics, Finance and Property | |
curtin.accessStatus | Open access | |
curtin.faculty | Faculty of Business and Law | |
curtin.contributor.orcid | Singh, Ranjodh [0000-0003-3370-5659] | |
curtin.contributor.orcid | Harris, Mark [0000-0002-1804-4357] | |
dcterms.source.conference-end-date | 2 Dec 2015 | |
curtin.contributor.scopusauthorid | Harris, Mark [35561581200] [55310794400] |