Control of the truncation errors for generalizedFdistributions

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/10400.6/9125
Resumo: F-tests may not be used for all relevant hypothesis, even in rather simple models, which led to the introduction of generalized F-tests. The statistics of these tests are quotients of linear combinations of independent chi-squares, which may be non-central. When the observations are collected under non-standardized conditions, the non-centrality parameters may be random. The generalized F distributions are given by infinite sums. In this study, we show that there is an excellent control of the truncations errors for those sums. The case in which the non-centrality parameters have Gamma distributions is singled out.
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spelling Control of the truncation errors for generalizedFdistributionsGeneralized F distributionsRandom non-centrality parametersTruncation errorsF-tests may not be used for all relevant hypothesis, even in rather simple models, which led to the introduction of generalized F-tests. The statistics of these tests are quotients of linear combinations of independent chi-squares, which may be non-central. When the observations are collected under non-standardized conditions, the non-centrality parameters may be random. The generalized F distributions are given by infinite sums. In this study, we show that there is an excellent control of the truncations errors for those sums. The case in which the non-centrality parameters have Gamma distributions is singled out.uBibliorumNunes, CéliaFerreira, DárioFerreira, Sandra S.Mexia, João T.2020-02-07T14:55:16Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/9125eng10.1080/00949655.2011.631924metadata 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:10400.6/9125Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:49:18.810728Repositório 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 Control of the truncation errors for generalizedFdistributions
title Control of the truncation errors for generalizedFdistributions
spellingShingle Control of the truncation errors for generalizedFdistributions
Nunes, Célia
Generalized F distributions
Random non-centrality parameters
Truncation errors
title_short Control of the truncation errors for generalizedFdistributions
title_full Control of the truncation errors for generalizedFdistributions
title_fullStr Control of the truncation errors for generalizedFdistributions
title_full_unstemmed Control of the truncation errors for generalizedFdistributions
title_sort Control of the truncation errors for generalizedFdistributions
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 Generalized F distributions
Random non-centrality parameters
Truncation errors
topic Generalized F distributions
Random non-centrality parameters
Truncation errors
description F-tests may not be used for all relevant hypothesis, even in rather simple models, which led to the introduction of generalized F-tests. The statistics of these tests are quotients of linear combinations of independent chi-squares, which may be non-central. When the observations are collected under non-standardized conditions, the non-centrality parameters may be random. The generalized F distributions are given by infinite sums. In this study, we show that there is an excellent control of the truncations errors for those sums. The case in which the non-centrality parameters have Gamma distributions is singled out.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01T00:00:00Z
2020-02-07T14:55:16Z
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dc.language.iso.fl_str_mv eng
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