Forecast of hotel overnights in the autonomous region of the Azores

Detalhes bibliográficos
Autor(a) principal: Santos, Carlos
Data de Publicação: 2006
Outros Autores: Couto, Gualter, Pimentel, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.3/1148
Resumo: This paper concentrates on the application of various time series methods in order to forecast the monthly overnights in Azorean hotels. The aim is to find out the degree to which the forecast of overnights segmented by country of origin, presents smaller errors when compared with the forecast of the total overnights in the Region. The appropriate forecasting method by a tourist’s country of origin, is also analyzed so that potential optimal combinations of separate forecasts can be found in order to forecast the total overnights in Azores.
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spelling Forecast of hotel overnights in the autonomous region of the AzoresAccuracy ComparisonsTime SeriesTourism ForecastingThis paper concentrates on the application of various time series methods in order to forecast the monthly overnights in Azorean hotels. The aim is to find out the degree to which the forecast of overnights segmented by country of origin, presents smaller errors when compared with the forecast of the total overnights in the Region. The appropriate forecasting method by a tourist’s country of origin, is also analyzed so that potential optimal combinations of separate forecasts can be found in order to forecast the total overnights in Azores.CEEAplARepositório da Universidade dos AçoresSantos, CarlosCouto, GualterPimentel, Pedro2011-05-27T10:10:00Z2006-072006-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/1148enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-12-20T14:28:41Zoai:repositorio.uac.pt:10400.3/1148Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:23:59.907794Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Forecast of hotel overnights in the autonomous region of the Azores
title Forecast of hotel overnights in the autonomous region of the Azores
spellingShingle Forecast of hotel overnights in the autonomous region of the Azores
Santos, Carlos
Accuracy Comparisons
Time Series
Tourism Forecasting
title_short Forecast of hotel overnights in the autonomous region of the Azores
title_full Forecast of hotel overnights in the autonomous region of the Azores
title_fullStr Forecast of hotel overnights in the autonomous region of the Azores
title_full_unstemmed Forecast of hotel overnights in the autonomous region of the Azores
title_sort Forecast of hotel overnights in the autonomous region of the Azores
author Santos, Carlos
author_facet Santos, Carlos
Couto, Gualter
Pimentel, Pedro
author_role author
author2 Couto, Gualter
Pimentel, Pedro
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade dos Açores
dc.contributor.author.fl_str_mv Santos, Carlos
Couto, Gualter
Pimentel, Pedro
dc.subject.por.fl_str_mv Accuracy Comparisons
Time Series
Tourism Forecasting
topic Accuracy Comparisons
Time Series
Tourism Forecasting
description This paper concentrates on the application of various time series methods in order to forecast the monthly overnights in Azorean hotels. The aim is to find out the degree to which the forecast of overnights segmented by country of origin, presents smaller errors when compared with the forecast of the total overnights in the Region. The appropriate forecasting method by a tourist’s country of origin, is also analyzed so that potential optimal combinations of separate forecasts can be found in order to forecast the total overnights in Azores.
publishDate 2006
dc.date.none.fl_str_mv 2006-07
2006-07-01T00:00:00Z
2011-05-27T10:10:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.3/1148
url http://hdl.handle.net/10400.3/1148
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CEEAplA
publisher.none.fl_str_mv CEEAplA
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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