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dc.contributor.authorGALLARDO PÉREZ, HENRY DE JESÚS
dc.contributor.authorVergel Ortega, Mawency
dc.contributor.authorRojas Suárez, Jhan Piero
dc.date.accessioned2021-11-09T20:34:56Z
dc.date.available2021-11-09T20:34:56Z
dc.date.issued2020-08-05
dc.identifier.urihttp://repositorio.ufps.edu.co/handle/ufps/810
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.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherJournal of Physics: Conference Seriesspa
dc.relation.ispartofJournal of Physics: Conference Series
dc.rightsContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltdeng
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.doi10.1088/1742-6596/1587/1/012016
dc.relation.citationeditionVol.1587 No.1.(2020)spa
dc.relation.citationendpage12016-7spa
dc.relation.citationissue1 (2020)spa
dc.relation.citationstartpage12016-1spa
dc.relation.citationvolume1587spa
dc.relation.citesPérez, H. G., Ortega, M. V., & Rojas-Suárez, J. P. (2020, July). Dynamic and sequential update for time series forecasting. In Journal of Physics: Conference Series (Vol. 1587, No. 1, p. 012016). IOP Publishing.
dc.relation.ispartofjournalJournal of Physics: Conference Seriesspa
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dc.rights.creativecommonsAtribución 4.0 Internacional (CC BY 4.0)spa
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