Modeling swimming marks through Blocks and POT methods

Detalhes bibliográficos
Autor(a) principal: Gomes, Dulce
Data de Publicação: 2011
Outros Autores: Teles, Júlia, Canto e Castro, Luísa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/4309
Resumo: The swimming marks in the 100 m men's freestyle long course are modelled using extreme value theory. Using the statistical package R, extreme value and generalized Pareto models were adjusted in order to estimate the left endpoint of these models. The left endpoint can be interpreted as the best mark that can ever be reached, admitting that swimming pool conditions, athlete's equipment and training methods remain the same.
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spelling Modeling swimming marks through Blocks and POT methodsExtreme value modelsGeneralized Pareto modelsBlocks methodPeaks over threshold methodThe swimming marks in the 100 m men's freestyle long course are modelled using extreme value theory. Using the statistical package R, extreme value and generalized Pareto models were adjusted in order to estimate the left endpoint of these models. The left endpoint can be interpreted as the best mark that can ever be reached, admitting that swimming pool conditions, athlete's equipment and training methods remain the same.Proceeding of the 26rd International Workshop on Statistical Modelling2012-01-27T10:42:53Z2012-01-272011-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/4309http://hdl.handle.net/10174/4309engInternational Workshop on Statistical Modellingdmog@uevora.ptjteles@fmh.utl.ptluisa.loura@deio.fc.pt336Gomes, DulceTeles, JúliaCanto e Castro, Luísainfo: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:RCAAP2024-01-03T18:41:18Zoai:dspace.uevora.pt:10174/4309Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:59:12.912224Repositório 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 Modeling swimming marks through Blocks and POT methods
title Modeling swimming marks through Blocks and POT methods
spellingShingle Modeling swimming marks through Blocks and POT methods
Gomes, Dulce
Extreme value models
Generalized Pareto models
Blocks method
Peaks over threshold method
title_short Modeling swimming marks through Blocks and POT methods
title_full Modeling swimming marks through Blocks and POT methods
title_fullStr Modeling swimming marks through Blocks and POT methods
title_full_unstemmed Modeling swimming marks through Blocks and POT methods
title_sort Modeling swimming marks through Blocks and POT methods
author Gomes, Dulce
author_facet Gomes, Dulce
Teles, Júlia
Canto e Castro, Luísa
author_role author
author2 Teles, Júlia
Canto e Castro, Luísa
author2_role author
author
dc.contributor.author.fl_str_mv Gomes, Dulce
Teles, Júlia
Canto e Castro, Luísa
dc.subject.por.fl_str_mv Extreme value models
Generalized Pareto models
Blocks method
Peaks over threshold method
topic Extreme value models
Generalized Pareto models
Blocks method
Peaks over threshold method
description The swimming marks in the 100 m men's freestyle long course are modelled using extreme value theory. Using the statistical package R, extreme value and generalized Pareto models were adjusted in order to estimate the left endpoint of these models. The left endpoint can be interpreted as the best mark that can ever be reached, admitting that swimming pool conditions, athlete's equipment and training methods remain the same.
publishDate 2011
dc.date.none.fl_str_mv 2011-07-01T00:00:00Z
2012-01-27T10:42:53Z
2012-01-27
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/10174/4309
http://hdl.handle.net/10174/4309
url http://hdl.handle.net/10174/4309
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Workshop on Statistical Modelling
dmog@uevora.pt
jteles@fmh.utl.pt
luisa.loura@deio.fc.pt
336
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Proceeding of the 26rd International Workshop on Statistical Modelling
publisher.none.fl_str_mv Proceeding of the 26rd International Workshop on Statistical Modelling
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
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
repository.mail.fl_str_mv
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