Confidence intervals for variance components in gauge capability studies

Detalhes bibliográficos
Autor(a) principal: Ferreira, Dário
Data de Publicação: 2018
Outros Autores: Ferreira, Sandra S., Nunes, Célia, Oliveira, Teresa A., 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/10400.6/9132
Resumo: We present a method, that uses pivot variables, which are functions of statistics and parameters, of constructing confidence intervals for variance components in gauge capability studies. As illustration we will consider a study on repeatability and reproducibility measures. Besides this the paper includes a simulation study demonstrating that in approximately 9500 out of 10000 simulations the 95% confidence interval covers the true value of the parameter.
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spelling Confidence intervals for variance components in gauge capability studiesInferenceLinear modelsVariance componentsR&R measuresInduced probability measuresWe present a method, that uses pivot variables, which are functions of statistics and parameters, of constructing confidence intervals for variance components in gauge capability studies. As illustration we will consider a study on repeatability and reproducibility measures. Besides this the paper includes a simulation study demonstrating that in approximately 9500 out of 10000 simulations the 95% confidence interval covers the true value of the parameter.uBibliorumFerreira, DárioFerreira, Sandra S.Nunes, CéliaOliveira, Teresa A.Mexia, João T.2020-02-07T15:08:34Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/9132eng10.1063/1.5044172metadata 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:10400.6/9132Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:49:19.026480Repositório 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 Confidence intervals for variance components in gauge capability studies
title Confidence intervals for variance components in gauge capability studies
spellingShingle Confidence intervals for variance components in gauge capability studies
Ferreira, Dário
Inference
Linear models
Variance components
R&R measures
Induced probability measures
title_short Confidence intervals for variance components in gauge capability studies
title_full Confidence intervals for variance components in gauge capability studies
title_fullStr Confidence intervals for variance components in gauge capability studies
title_full_unstemmed Confidence intervals for variance components in gauge capability studies
title_sort Confidence intervals for variance components in gauge capability studies
author Ferreira, Dário
author_facet Ferreira, Dário
Ferreira, Sandra S.
Nunes, Célia
Oliveira, Teresa A.
Mexia, João T.
author_role author
author2 Ferreira, Sandra S.
Nunes, Célia
Oliveira, Teresa A.
Mexia, João T.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Ferreira, Dário
Ferreira, Sandra S.
Nunes, Célia
Oliveira, Teresa A.
Mexia, João T.
dc.subject.por.fl_str_mv Inference
Linear models
Variance components
R&R measures
Induced probability measures
topic Inference
Linear models
Variance components
R&R measures
Induced probability measures
description We present a method, that uses pivot variables, which are functions of statistics and parameters, of constructing confidence intervals for variance components in gauge capability studies. As illustration we will consider a study on repeatability and reproducibility measures. Besides this the paper includes a simulation study demonstrating that in approximately 9500 out of 10000 simulations the 95% confidence interval covers the true value of the parameter.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
2020-02-07T15:08:34Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.6/9132
url http://hdl.handle.net/10400.6/9132
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1063/1.5044172
dc.rights.driver.fl_str_mv metadata only access
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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