Automatic detection of discordant outliers via the Ueda's method
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://repositorio-aberto.up.pt/handle/10216/84494 |
Resumo: | The importance of identifying outliers in a data set is well known. Although variousoutlier detection methods have been proposed in order to enable reliable inferencesregarding a data set, a simple but less known method has been proposed by Ueda(1996/2009). Since this new method, called Uedas method, has not been systematicallyanalysed in previous research, a simulation study addressing its performance androbustness is presented. Although the method was derived assuming that theunderlying data is normally distributed, its performance was analysed using data fromvarious outlier-prone distributions commonly found in several research fields. Theresults obtained enable us to define the strengths and weaknesses of the methodalong with its limits of applicability. Furthermore, an unforeseen field of application ofthe method, which requires further studies was also identified. |
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Automatic detection of discordant outliers via the Ueda's methodEngenharia estrutural, Engenharia civilStructural engineering, Civil engineeringThe importance of identifying outliers in a data set is well known. Although variousoutlier detection methods have been proposed in order to enable reliable inferencesregarding a data set, a simple but less known method has been proposed by Ueda(1996/2009). Since this new method, called Uedas method, has not been systematicallyanalysed in previous research, a simulation study addressing its performance androbustness is presented. Although the method was derived assuming that theunderlying data is normally distributed, its performance was analysed using data fromvarious outlier-prone distributions commonly found in several research fields. Theresults obtained enable us to define the strengths and weaknesses of the methodalong with its limits of applicability. Furthermore, an unforeseen field of application ofthe method, which requires further studies was also identified.20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/84494eng2195-583210.1186/s40488-015-0031-yFernando Marmolejo RamosJorge I. VélezXavier Romãoinfo: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:RCAAP2023-11-29T13:52:57Zoai:repositorio-aberto.up.pt:10216/84494Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:49:38.407647Repositório 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 |
Automatic detection of discordant outliers via the Ueda's method |
title |
Automatic detection of discordant outliers via the Ueda's method |
spellingShingle |
Automatic detection of discordant outliers via the Ueda's method Fernando Marmolejo Ramos Engenharia estrutural, Engenharia civil Structural engineering, Civil engineering |
title_short |
Automatic detection of discordant outliers via the Ueda's method |
title_full |
Automatic detection of discordant outliers via the Ueda's method |
title_fullStr |
Automatic detection of discordant outliers via the Ueda's method |
title_full_unstemmed |
Automatic detection of discordant outliers via the Ueda's method |
title_sort |
Automatic detection of discordant outliers via the Ueda's method |
author |
Fernando Marmolejo Ramos |
author_facet |
Fernando Marmolejo Ramos Jorge I. Vélez Xavier Romão |
author_role |
author |
author2 |
Jorge I. Vélez Xavier Romão |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Fernando Marmolejo Ramos Jorge I. Vélez Xavier Romão |
dc.subject.por.fl_str_mv |
Engenharia estrutural, Engenharia civil Structural engineering, Civil engineering |
topic |
Engenharia estrutural, Engenharia civil Structural engineering, Civil engineering |
description |
The importance of identifying outliers in a data set is well known. Although variousoutlier detection methods have been proposed in order to enable reliable inferencesregarding a data set, a simple but less known method has been proposed by Ueda(1996/2009). Since this new method, called Uedas method, has not been systematicallyanalysed in previous research, a simulation study addressing its performance androbustness is presented. Although the method was derived assuming that theunderlying data is normally distributed, its performance was analysed using data fromvarious outlier-prone distributions commonly found in several research fields. Theresults obtained enable us to define the strengths and weaknesses of the methodalong with its limits of applicability. Furthermore, an unforeseen field of application ofthe method, which requires further studies was also identified. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 2015-01-01T00:00:00Z |
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 |
https://repositorio-aberto.up.pt/handle/10216/84494 |
url |
https://repositorio-aberto.up.pt/handle/10216/84494 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2195-5832 10.1186/s40488-015-0031-y |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
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 |
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1799135816014888961 |