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Nueva aproximación al análisis de series temporales interrumpidas

dc.contributor.authorEscudero García, José Ramón
dc.contributor.authorVallejo Seco, Guillermo 
dc.date.accessioned2014-06-04T08:36:16Z
dc.date.available2014-06-04T08:36:16Z
dc.date.issued1999
dc.identifier.citationREMA, 4(2), p. 63-75 (1999)
dc.identifier.issn1135-6855
dc.identifier.urihttp://hdl.handle.net/10651/27016
dc.description.abstractIn the present work, we show an alternative to the verification of the intervention effect in time series to which the ARIMA model has been applied. This alternative is based on the consideration of significant differences in the parameters of ARIMA models, taking into account only the base line and also taking into account the complete series – base line and intervention phase. In order to be able to determine when the differences between parameters are significant, an investigation is carried out by means of the Montecarlo method so that different significance levels are defined statistically.spa
dc.format.extent63-75spa
dc.language.isospa
dc.publisherUniversidad de Oviedo, Facultad de Psicología
dc.relation.ispartofREMA, 4(2)spa
dc.rights(c) Universidad de Oviedo
dc.rightsCC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleNueva aproximación al análisis de series temporales interrumpidasspa
dc.typejournal article
dc.rights.accessRightsopen access


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