F-tests with a rare pathology

Detalhes bibliográficos
Autor(a) principal: Nunes, Célia
Data de Publicação: 2012
Outros Autores: Ferreira, Dário, Ferreira, Sandra S., Mexia, João T.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/9123
Resumo: ANOVA is routinely used to compare pathologies. Nevertheless, in many situations, the sample dimensions may not be known when planning the study. This is specially relevant when one of the pathologies is rare. Thus, the sample size for that pathology or for all pathologies must be considered as random. Sample selection for the non-rare pathologies may be carried out to increase the balance of the model. This leads to F-tests with random non-centrality parameters and random degrees of freedom for the errors. The distribution of such tests statistics is obtained.
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spelling F-tests with a rare pathologyF-testsRandom non-centrality parametersRandom degrees of freedomRare pathologyTruncation errorANOVA is routinely used to compare pathologies. Nevertheless, in many situations, the sample dimensions may not be known when planning the study. This is specially relevant when one of the pathologies is rare. Thus, the sample size for that pathology or for all pathologies must be considered as random. Sample selection for the non-rare pathologies may be carried out to increase the balance of the model. This leads to F-tests with random non-centrality parameters and random degrees of freedom for the errors. The distribution of such tests statistics is obtained.uBibliorumNunes, CéliaFerreira, DárioFerreira, Sandra S.Mexia, João T.2020-02-07T14:50:50Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/9123eng10.1080/02664763.2011.603293metadata only accessinfo: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:RCAAP2023-12-15T09:49:43Zoai:ubibliorum.ubi.pt:10400.6/9123Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:49:18.767247Repositório 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 F-tests with a rare pathology
title F-tests with a rare pathology
spellingShingle F-tests with a rare pathology
Nunes, Célia
F-tests
Random non-centrality parameters
Random degrees of freedom
Rare pathology
Truncation error
title_short F-tests with a rare pathology
title_full F-tests with a rare pathology
title_fullStr F-tests with a rare pathology
title_full_unstemmed F-tests with a rare pathology
title_sort F-tests with a rare pathology
author Nunes, Célia
author_facet Nunes, Célia
Ferreira, Dário
Ferreira, Sandra S.
Mexia, João T.
author_role author
author2 Ferreira, Dário
Ferreira, Sandra S.
Mexia, João T.
author2_role author
author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Nunes, Célia
Ferreira, Dário
Ferreira, Sandra S.
Mexia, João T.
dc.subject.por.fl_str_mv F-tests
Random non-centrality parameters
Random degrees of freedom
Rare pathology
Truncation error
topic F-tests
Random non-centrality parameters
Random degrees of freedom
Rare pathology
Truncation error
description ANOVA is routinely used to compare pathologies. Nevertheless, in many situations, the sample dimensions may not be known when planning the study. This is specially relevant when one of the pathologies is rare. Thus, the sample size for that pathology or for all pathologies must be considered as random. Sample selection for the non-rare pathologies may be carried out to increase the balance of the model. This leads to F-tests with random non-centrality parameters and random degrees of freedom for the errors. The distribution of such tests statistics is obtained.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01T00:00:00Z
2020-02-07T14:50:50Z
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