Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models

Detalhes bibliográficos
Autor(a) principal: TIAGO MENDES DANTAS
Data de Publicação: 2018
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6486506
id BRCRIS_cefcf6d2d184c79fa37b458c882d282c
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models
title Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models
spellingShingle Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models
Redução de variância
Variance Reduction
TIAGO MENDES DANTAS
title_short Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models
title_full Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models
title_fullStr Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models
Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models
title_full_unstemmed Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models
Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models
title_sort Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models
topic Redução de variância
Variance Reduction
publishDate 2018
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6486506
author_role author
author TIAGO MENDES DANTAS
author_facet TIAGO MENDES DANTAS
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/1817162880145895
dc.contributor.advisor1.fl_str_mv FERNANDO LUIZ CYRINO OLIVEIRA
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/0348074510343282
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000-0003-1870-9440
dc.publisher.none.fl_str_mv PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
publisher.none.fl_str_mv PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
instname_str PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
dc.publisher.program.fl_str_mv ENGENHARIA DE PRODUÇÃO
dc.description.course.none.fl_txt_mv ENGENHARIA DE PRODUÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESCombining to succeed: A novel strategy to improve forecasts from Exponential Smoothing modelsCombining to succeed: A novel strategy to improve forecasts from Exponential Smoothing modelsCombining to succeed: A novel strategy to improve forecasts from Exponential Smoothing modelsCombining to succeed: A novel strategy to improve forecasts from Exponential Smoothing modelsCombining to succeed: A novel strategy to improve forecasts from Exponential Smoothing modelsCombining to succeed: A novel strategy to improve forecasts from Exponential Smoothing modelsCombining to succeed: A novel strategy to improve forecasts from Exponential Smoothing modelsRedução de variância2018doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6486506authorTIAGO MENDES DANTAShttp://lattes.cnpq.br/1817162880145895FERNANDO LUIZ CYRINO OLIVEIRAhttp://lattes.cnpq.br/0348074510343282https://orcid.org/0000-0003-1870-9440PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROPONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROPONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROENGENHARIA DE PRODUÇÃOENGENHARIA DE PRODUÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv DANTAS, TIAGO MENDES. Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models. 2018. Tese.
dc.identifier.citation.fl_str_mv DANTAS, TIAGO MENDES. Combining to succeed: A novel strategy to improve forecasts from Exponential Smoothing models. 2018. Tese.
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