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dc.contributor.authorAriza Hernandez, Francisco Julian
dc.contributor.authorSánchez Ortiz, Jorge
dc.contributor.authorArciga Alejandre, Martin Patricio
dc.contributor.authorVivas Cruz, Luis Xavier
dc.creatorAriza Hernandez, Francisco Julian; 161892
dc.creatorSánchez Ortiz, Jorge; 100592
dc.creatorArciga Alejandre, Martin Patricio; 41740
dc.creatorVivas Cruz, Luis Xavier; 596195
dc.date.accessioned2019-05-20T08:20:49Z
dc.date.available2019-05-20T08:20:49Z
dc.date.issued2017-01-23
dc.identifier.urihttp://ri.uagro.mx/handle/uagro/835
dc.description.abstractWe implement the Bayesian statistical inversion theory to obtain the solution for an inverse problem of growth data, using a fractional population growth model. We estimate the parameters in the model and we make a comparison between this model and an exponential one, based on an approximation of Bayes factor. A simulation study is carried out to show the performance of the estimators and the Bayes factor. Finally, we present a real data example to illustrate the effectiveness of the method proposed here and the pertinence of using a fractional model.
dc.formatpdf
dc.language.isoeng
dc.publisherHindawi Publishing Corporation Journal of Applied Mathematics
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4
dc.subject.classificationCIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA::MATEMÁTICAS
dc.titleBayesian analysis for a fractional population growth model
dc.typeArtículo
dc.type.conacytarticle
dc.rights.accesopenAccess
dc.audiencegeneralPublic
dc.identificator1||12
dc.format.digitalOriginBorn digital
dc.thesis.degreenameDoctorado en Matemáticas
dc.thesis.degreedepartmentFacultad de Matemáticas
dc.identifier.cvuagro14087
dc.identifier.doihttps://doi.org/10.1155/2017/9654506


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