Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/29896
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dc.contributor.authorLima, Susanapt_PT
dc.contributor.authorGonçalves, A. Manuelapt_PT
dc.contributor.authorCosta, Marcopt_PT
dc.date.accessioned2020-11-25T16:05:58Z-
dc.date.available2020-11-25T16:05:58Z-
dc.date.issued2019-
dc.identifier.urihttp://hdl.handle.net/10773/29896-
dc.description.abstractThis study deals with forecasting economic time series that have strong trends and seasonal patterns. How to bestmodel and forecast these patterns has been a long-standing issue of time series analysis. In this work, we propose a Holt-WintersExponential Smoothing approach to time series forecasting in order to increase the chance of capturing different patterns in the dataand thus improve forecasting performance. Therefore, the main propose of this study is to compare the accuracy of Holt-Wintersmodels (additive and multiplicative) for forecasting and to bring new insights about the methods used via this approach. Thesemethods are chosen because of their ability to model trend and seasonal fluctuations present in economic data. The models arefitted to time series of e-commerce retail sales in Portugal. Finally, a comparison is made and discussedpt_PT
dc.language.isoengpt_PT
dc.publisherAIP Publishingpt_PT
dc.relationUID/MAT/04106/2019pt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147370/PTpt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectTime seriespt_PT
dc.subjectHolt-Winter methodpt_PT
dc.subjectForecastingpt_PT
dc.titleTime series forecasting using Holt-Winters exponential smoothing: an application to economic datapt_PT
dc.typeconferenceObjectpt_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
ua.event.date2019pt_PT
degois.publication.firstPage090003-1pt_PT
degois.publication.lastPage090003-4pt_PT
degois.publication.titleProceedings of the International Conference of Computational Methods in Sciences and Engineering 2019pt_PT
degois.publication.volume2186pt_PT
dc.identifier.doi10.1063/1.5137999pt_PT
Appears in Collections:ESTGA - Comunicações
GOVCOPP - Comunicações



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