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dc.contributor.authorGALLARDO PÉREZ, HENRY DE JESÚS
dc.contributor.authorVergel Ortega, Mawency
dc.contributor.authorRojas Suárez, Jhan Piero
dc.date.accessioned2021-10-28T18:24:10Z
dc.date.available2021-10-28T18:24:10Z
dc.date.issued2020-08-05
dc.identifier.urihttp://repositorio.ufps.edu.co/handle/ufps/456
dc.description.abstractTwo different sciences, physics and statistics, have worked, from the foundations of each, on the explanation and modelling of stochastic processes characterized by the succession of random variables whose realizations at each instant of time give rise to time series. From Physics we have worked with the Fourier transform to explain the dynamics of time series, a similar case occurs from statistics where dynamic models of time series are worked to explain the variations of the series and, in both cases, to make reliable forecasts. The main objective of this research is to adjust a model, using the methodology framed in the sequential update procedure of the forecast, to a time series of coal production observed quarterly during the years 2007 to 2011, in order to disaggregate quarterly the annual production for the years 2012 to 2018. Once the process has been carried out and validated, a quarterly production model is estimated which allows valid and reliable forecasts to be made for each quarter in subsequent years.eng
dc.format.extent7 Páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherJournal of Physics: Conference Seriesspa
dc.relation.ispartofJournal of Physics: Conference Series ISSN: 1742-6596, 2020 vol:1587 fasc: 012016 págs: 1 - 6, DOI:10.1088/1742-6596/1587/1/012016
dc.rightsContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.eng
dc.sourcehttps://iopscience.iop.org/article/10.1088/1742-6596/1587/1/012016/metaspa
dc.titleDynamic and sequential update for time series forecastingeng
dc.typeArtículo de revistaspa
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dc.identifier.doihttps://doi.org/10.1088/1742-6596/1587/1/012016
dc.relation.citationeditionVol. 1587. No (2020)spa
dc.relation.citationendpage6spa
dc.relation.citationissue(2020)spa
dc.relation.citationstartpage1spa
dc.relation.citationvolume1587spa
dc.relation.citesH J Gallardo Pérez et al 2020 J. Phys.: Conf. Ser. 1587 012016
dc.relation.ispartofjournalJournal of Physics: Conference Seriesspa
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