Ondaietas e previsão de séries de tempo: uma análise empírica

Detalhes bibliográficos
Autor(a) principal: Homsy, Guilherme V.
Data de Publicação: 2003
Outros Autores: Portugal, Marcelo S., Araujo, Jorge P.
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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spelling 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
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