Ondaietas e previsão de séries de tempo: uma análise empírica
Autor(a) principal: | |
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Data de Publicação: | 2003 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Economia Aplicada |
Texto Completo: | https://www.revistas.usp.br/ecoa/article/view/220103 |
Resumo: | This paper presents three case studies in time series forecasting. We try to compare the use of traditional ARIMA models with an alternative method that combines of ARIMA and Wavelets models. Two different approaches are applied. In the first one, Wavelets are used to fraction the original time series, so that ARIMA forecasting is performed on the ffactioned series. The fractioned forecasting is then jointed to obtain the original series forecasting. The second alternative method consist in using Wavelets to smooth the original series before using traditional ARIMA forecasting. |
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oai:revistas.usp.br:article/220103 |
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Economia Aplicada |
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Ondaietas e previsão de séries de tempo: uma análise empíricawaveletsforecastingtime seriesThis paper presents three case studies in time series forecasting. We try to compare the use of traditional ARIMA models with an alternative method that combines of ARIMA and Wavelets models. Two different approaches are applied. In the first one, Wavelets are used to fraction the original time series, so that ARIMA forecasting is performed on the ffactioned series. The fractioned forecasting is then jointed to obtain the original series forecasting. The second alternative method consist in using Wavelets to smooth the original series before using traditional ARIMA forecasting.Universidade de São Paulo, FEA-RP/USP2003-04-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/ecoa/article/view/22010310.11606/1413-8050/ea220103Economia Aplicada; Vol. 7 Núm. 2 (2003); 285-326Economia Aplicada; Vol. 7 No. 2 (2003); 285-326Economia Aplicada; v. 7 n. 2 (2003); 285-3261980-53301413-8050reponame:Economia Aplicadainstname:Universidade de São Paulo (USP)instacron:USPporhttps://www.revistas.usp.br/ecoa/article/view/220103/200919Copyright (c) 2003 Economia Aplicadahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessHomsy, Guilherme V. Portugal, Marcelo S. Araujo, Jorge P. 2023-12-11T19:45:22Zoai:revistas.usp.br:article/220103Revistahttps://www.revistas.usp.br/ecoaPUBhttps://www.revistas.usp.br/ecoa/oai||revecap@usp.br1980-53301413-8050opendoar:2023-12-11T19:45:22Economia Aplicada - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Ondaietas e previsão de séries de tempo: uma análise empírica |
title |
Ondaietas e previsão de séries de tempo: uma análise empírica |
spellingShingle |
Ondaietas e previsão de séries de tempo: uma análise empírica Homsy, Guilherme V. wavelets forecasting time series |
title_short |
Ondaietas e previsão de séries de tempo: uma análise empírica |
title_full |
Ondaietas e previsão de séries de tempo: uma análise empírica |
title_fullStr |
Ondaietas e previsão de séries de tempo: uma análise empírica |
title_full_unstemmed |
Ondaietas e previsão de séries de tempo: uma análise empírica |
title_sort |
Ondaietas e previsão de séries de tempo: uma análise empírica |
author |
Homsy, Guilherme V. |
author_facet |
Homsy, Guilherme V. Portugal, Marcelo S. Araujo, Jorge P. |
author_role |
author |
author2 |
Portugal, Marcelo S. Araujo, Jorge P. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Homsy, Guilherme V. Portugal, Marcelo S. Araujo, Jorge P. |
dc.subject.por.fl_str_mv |
wavelets forecasting time series |
topic |
wavelets forecasting time series |
description |
This paper presents three case studies in time series forecasting. We try to compare the use of traditional ARIMA models with an alternative method that combines of ARIMA and Wavelets models. Two different approaches are applied. In the first one, Wavelets are used to fraction the original time series, so that ARIMA forecasting is performed on the ffactioned series. The fractioned forecasting is then jointed to obtain the original series forecasting. The second alternative method consist in using Wavelets to smooth the original series before using traditional ARIMA forecasting. |
publishDate |
2003 |
dc.date.none.fl_str_mv |
2003-04-11 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/ecoa/article/view/220103 10.11606/1413-8050/ea220103 |
url |
https://www.revistas.usp.br/ecoa/article/view/220103 |
identifier_str_mv |
10.11606/1413-8050/ea220103 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/ecoa/article/view/220103/200919 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2003 Economia Aplicada http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2003 Economia Aplicada http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo, FEA-RP/USP |
publisher.none.fl_str_mv |
Universidade de São Paulo, FEA-RP/USP |
dc.source.none.fl_str_mv |
Economia Aplicada; Vol. 7 Núm. 2 (2003); 285-326 Economia Aplicada; Vol. 7 No. 2 (2003); 285-326 Economia Aplicada; v. 7 n. 2 (2003); 285-326 1980-5330 1413-8050 reponame:Economia Aplicada instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Economia Aplicada |
collection |
Economia Aplicada |
repository.name.fl_str_mv |
Economia Aplicada - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||revecap@usp.br |
_version_ |
1800221693616062464 |