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dc.contributor.authorRojas Suárez, Jhan Piero
dc.contributor.authorGALLARDO PÉREZ, HENRY DE JESÚS
dc.contributor.authorGallardo Pérez, Oscar Alberto
dc.date.accessioned2021-11-20T17:05:35Z
dc.date.available2021-11-20T17:05:35Z
dc.date.issued2019-09-30
dc.identifier.urihttp://repositorio.ufps.edu.co/handle/ufps/1176
dc.description.abstractA time series, also called a time series or chronological series, consists of a set of data, coming from realizations of a random variable that are observed successively in time. Its analysis involves the use of statistical methods to adjust models to explain their behavior and make reliable forecasts. In this article integrated autoregressive models of moving average are adjusted to the studied series, complemented with specific methods of fractal geometry as support for the detection of the existence of random cycles in the series. The present investigation implies the realization of simulations, in a first phase and, later, the analysis of temporal series of economic and social variables of the country and the region.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/10.1088/1742-6596/1329/1/012018/metaspa
dc.titleEstimation of models and cycles in time series applying fractal geometryeng
dc.typeArtículo de revistaspa
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dc.identifier.doi10.1088/1742-6596/1329/1/012018
dc.publisher.placeLondres, Inglaterraspa
dc.relation.citationeditionVol.1329 No.1.(2019)spa
dc.relation.citationendpage7spa
dc.relation.citationissue1 (2019)spa
dc.relation.citationstartpage1spa
dc.relation.citationvolume1329spa
dc.relation.citesPérez, H. G., Pérez, O. G., & Suárez, J. R. (2019, September). Estimation of models and cycles in time series applying fractal geometry. In Journal of Physics: Conference Series (Vol. 1329, No. 1, p. 012018). IOP Publishing.
dc.relation.ispartofjournalJournal of Physics: Conference Seriesspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonsAtribución 4.0 Internacional (CC BY 4.0)spa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
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dc.type.driverinfo:eu-repo/semantics/articlespa
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