Forecasting the automotive market using autoregressive integrated moving average with python

Detalhes bibliográficos
Autor(a) principal: Bianchi, Alberto
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/105993
Resumo: The present document is based on an internship at TIPS 4Yand aims to forecast the growth of the automotive market for the next 5 years in Portugal through the Autoregressive Integrated Moving Average model. This report starts with a literature background focused on market development paying particular attention to the electric car market. Hereafter the used methodology is described, from which a detailed explication of the process used for gathering data is defined. Subsequently to this section, a presentation of the results of the tasks is done, followed by a critical opinion about them.
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spelling Forecasting the automotive market using autoregressive integrated moving average with pythonForecastingTIPS 4YARIMADataDomínio/Área Científica::Ciências Sociais::Economia e GestãoThe present document is based on an internship at TIPS 4Yand aims to forecast the growth of the automotive market for the next 5 years in Portugal through the Autoregressive Integrated Moving Average model. This report starts with a literature background focused on market development paying particular attention to the electric car market. Hereafter the used methodology is described, from which a detailed explication of the process used for gathering data is defined. Subsequently to this section, a presentation of the results of the tasks is done, followed by a critical opinion about them.Santos, CarlosRUNBianchi, Alberto2023-01-03T01:30:20Z2020-01-132020-01-032020-01-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/105993TID:202494810enginfo: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:RCAAP2024-03-11T04:51:15Zoai:run.unl.pt:10362/105993Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:39.454399Repositório 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 Forecasting the automotive market using autoregressive integrated moving average with python
title Forecasting the automotive market using autoregressive integrated moving average with python
spellingShingle Forecasting the automotive market using autoregressive integrated moving average with python
Bianchi, Alberto
Forecasting
TIPS 4Y
ARIMA
Data
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Forecasting the automotive market using autoregressive integrated moving average with python
title_full Forecasting the automotive market using autoregressive integrated moving average with python
title_fullStr Forecasting the automotive market using autoregressive integrated moving average with python
title_full_unstemmed Forecasting the automotive market using autoregressive integrated moving average with python
title_sort Forecasting the automotive market using autoregressive integrated moving average with python
author Bianchi, Alberto
author_facet Bianchi, Alberto
author_role author
dc.contributor.none.fl_str_mv Santos, Carlos
RUN
dc.contributor.author.fl_str_mv Bianchi, Alberto
dc.subject.por.fl_str_mv Forecasting
TIPS 4Y
ARIMA
Data
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Forecasting
TIPS 4Y
ARIMA
Data
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description The present document is based on an internship at TIPS 4Yand aims to forecast the growth of the automotive market for the next 5 years in Portugal through the Autoregressive Integrated Moving Average model. This report starts with a literature background focused on market development paying particular attention to the electric car market. Hereafter the used methodology is described, from which a detailed explication of the process used for gathering data is defined. Subsequently to this section, a presentation of the results of the tasks is done, followed by a critical opinion about them.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-13
2020-01-03
2020-01-13T00:00:00Z
2023-01-03T01:30:20Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/105993
TID:202494810
url http://hdl.handle.net/10362/105993
identifier_str_mv TID:202494810
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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
repository.mail.fl_str_mv
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