Approximate confidence intervals for a linear combination of binomial proportions: A new variant

Detalhes bibliográficos
Autor(a) principal: Escudeiro, S.
Data de Publicação: 2017
Outros Autores: Freitas, A., Afreixo, V.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/21434
Resumo: We propose a new adjustment for constructing an improved version of theWald interval for linear combinations of binomial proportions, which addresses the presence of extremal samples. A comparative simulation study was carried out to investigate the performance of this new variant with respect to the exact coverage probability, expected interval length, and mesial and distal noncoverage probabilities. Additionally, we discuss the application of a criterion for interpreting interval location in the case of small samples and/or in situations in which extremal observations exist. The confidence intervals obtained from the new variant performed better for some evaluation measures.
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spelling Approximate confidence intervals for a linear combination of binomial proportions: A new variantApproximate confidence intervalsInterval locationRestricted and unrestricted modelsWe propose a new adjustment for constructing an improved version of theWald interval for linear combinations of binomial proportions, which addresses the presence of extremal samples. A comparative simulation study was carried out to investigate the performance of this new variant with respect to the exact coverage probability, expected interval length, and mesial and distal noncoverage probabilities. Additionally, we discuss the application of a criterion for interpreting interval location in the case of small samples and/or in situations in which extremal observations exist. The confidence intervals obtained from the new variant performed better for some evaluation measures.Taylor & Francis2018-01-15T11:03:56Z2017-01-01T00:00:00Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/21434eng0361-091810.1080/03610918.2016.1241408Escudeiro, S.Freitas, A.Afreixo, V.info: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:RCAAP2024-02-22T11:42:06Zoai:ria.ua.pt:10773/21434Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:55:54.500407Repositório 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 Approximate confidence intervals for a linear combination of binomial proportions: A new variant
title Approximate confidence intervals for a linear combination of binomial proportions: A new variant
spellingShingle Approximate confidence intervals for a linear combination of binomial proportions: A new variant
Escudeiro, S.
Approximate confidence intervals
Interval location
Restricted and unrestricted models
title_short Approximate confidence intervals for a linear combination of binomial proportions: A new variant
title_full Approximate confidence intervals for a linear combination of binomial proportions: A new variant
title_fullStr Approximate confidence intervals for a linear combination of binomial proportions: A new variant
title_full_unstemmed Approximate confidence intervals for a linear combination of binomial proportions: A new variant
title_sort Approximate confidence intervals for a linear combination of binomial proportions: A new variant
author Escudeiro, S.
author_facet Escudeiro, S.
Freitas, A.
Afreixo, V.
author_role author
author2 Freitas, A.
Afreixo, V.
author2_role author
author
dc.contributor.author.fl_str_mv Escudeiro, S.
Freitas, A.
Afreixo, V.
dc.subject.por.fl_str_mv Approximate confidence intervals
Interval location
Restricted and unrestricted models
topic Approximate confidence intervals
Interval location
Restricted and unrestricted models
description We propose a new adjustment for constructing an improved version of theWald interval for linear combinations of binomial proportions, which addresses the presence of extremal samples. A comparative simulation study was carried out to investigate the performance of this new variant with respect to the exact coverage probability, expected interval length, and mesial and distal noncoverage probabilities. Additionally, we discuss the application of a criterion for interpreting interval location in the case of small samples and/or in situations in which extremal observations exist. The confidence intervals obtained from the new variant performed better for some evaluation measures.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01T00:00:00Z
2017
2018-01-15T11:03:56Z
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/10773/21434
url http://hdl.handle.net/10773/21434
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0361-0918
10.1080/03610918.2016.1241408
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.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
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
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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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