F Tests with Random Sample Sizes

Detalhes bibliográficos
Autor(a) principal: Nunes, Célia
Data de Publicação: 2010
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/10400.6/9139
Resumo: ANOVA is routinely used to compare pathologies. We now want to consider the case in which one of the pathologies is rare so that it may not be possible to know the dimension of the corresponding sample. In this case the distribution of the F test have random non-centrality parameters, when there are differences between the pathologies, and random degrees of freedom for the errors.
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spelling F Tests with Random Sample SizesF testsRandom non-centrality parametersRandom degrees of freedomANOVA is routinely used to compare pathologies. We now want to consider the case in which one of the pathologies is rare so that it may not be possible to know the dimension of the corresponding sample. In this case the distribution of the F test have random non-centrality parameters, when there are differences between the pathologies, and random degrees of freedom for the errors.uBibliorumNunes, CéliaFerreira, DárioFerreira, Sandra S.Mexia, João T.2020-02-07T15:36:55Z20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/9139eng10.1063/1.3497911metadata 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:RCAAP2023-12-15T09:49:46Zoai:ubibliorum.ubi.pt:10400.6/9139Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:49:19.838381Repositório 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 Random Sample Sizes
title F Tests with Random Sample Sizes
spellingShingle F Tests with Random Sample Sizes
Nunes, Célia
F tests
Random non-centrality parameters
Random degrees of freedom
title_short F Tests with Random Sample Sizes
title_full F Tests with Random Sample Sizes
title_fullStr F Tests with Random Sample Sizes
title_full_unstemmed F Tests with Random Sample Sizes
title_sort F Tests with Random Sample Sizes
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
topic F tests
Random non-centrality parameters
Random degrees of freedom
description ANOVA is routinely used to compare pathologies. We now want to consider the case in which one of the pathologies is rare so that it may not be possible to know the dimension of the corresponding sample. In this case the distribution of the F test have random non-centrality parameters, when there are differences between the pathologies, and random degrees of freedom for the errors.
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-01-01T00:00:00Z
2020-02-07T15:36:55Z
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dc.language.iso.fl_str_mv eng
language eng
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