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Beta meteorological time series: application to air humidity data
dc.rights.license | Atribución-NoComercial 4.0 Internacional |
dc.contributor.author | Cepeda-Cuervo, Edilberto |
dc.contributor.author | Andrade, Marinho G. |
dc.contributor.author | Achcar, Jorge Alberto |
dc.date.accessioned | 2019-06-25T00:31:10Z |
dc.date.available | 2019-06-25T00:31:10Z |
dc.identifier.uri | https://repositorio.unal.edu.co/handle/unal/11778 |
dc.description.abstract | Time series models are often used in the analysis of Meteorological phenomena to model levels of rainfall, temperature and levels of air humidity series in order to make forecasting and generate synthetic series which are inputs for the analysis of the influence of these variables on the quality of life. Relative air humidity for example, has great influence on the count increasing of respiratory diseases, especially for some age populations as newly born and elderly people. In this paper we introduce a new modeling approach for meteorological time series assuming a beta distribution for the data, where both the mean and precision parameters are being modeled. Bayesian methods using standard MCMC (Markov Chain Monte Carlo Methods) are used to simulate samples for the joint posterior distribution of interest. An example is given with a time series of 313 air humidity observations, measured by a wether station of Rio Claro, a city localized in S˜ao Paulo state, southeastern of Brazil. |
dc.format.mimetype | application/pdf |
dc.language.iso | spa |
dc.relation.ispartof | Universidad Nacional de Colombia Sede Bogotá Facultad de Ciencias Departamento de Estadística |
dc.relation.ispartof | Departamento de Estadística |
dc.rights | Derechos reservados - Universidad Nacional de Colombia |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ |
dc.subject.ddc | 5 Ciencias naturales y matemáticas / Science |
dc.subject.ddc | 55 Ciencias de la tierra / Earth sciences and geology |
dc.title | Beta meteorological time series: application to air humidity data |
dc.type | Documento de trabajo |
dc.type.driver | info:eu-repo/semantics/workingPaper |
dc.type.version | info:eu-repo/semantics/draft |
dc.identifier.eprints | http://bdigital.unal.edu.co/9316/ |
dc.relation.references | Cepeda-Cuervo, Edilberto and Andrade, Marinho G. and Achcar, Jorge Alberto Beta meteorological time series: application to air humidity data. Reporte técnico. Sin Definir. (No publicado) |
dc.rights.accessrights | info:eu-repo/semantics/openAccess |
dc.subject.proposal | Meteorological time series data |
dc.subject.proposal | beta distribution |
dc.subject.proposal | Bayesian analysis, MCMC methods |
dc.subject.proposal | MCMC methods |
dc.type.coar | http://purl.org/coar/resource_type/c_8042 |
dc.type.coarversion | http://purl.org/coar/version/c_b1a7d7d4d402bcce |
dc.type.content | Text |
dc.type.redcol | http://purl.org/redcol/resource_type/WP |
oaire.accessrights | http://purl.org/coar/access_right/c_abf2 |
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