Bayesian inference for the pairwise probability of agreement using data from several measurement systems

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dc.catalogadoryvc
dc.contributor.authorCastro, Mario de
dc.contributor.authorGalea Rojas, Manuel Jesús
dc.date.accessioned2024-04-16T21:24:58Z
dc.date.available2024-04-16T21:24:58Z
dc.date.issued2021
dc.description.abstractThis article deals with Bayesian inference in the comparison of measurement systems. Agreement between two systems can be evaluated using data from several measurement systems and using only data from the two systems being compared. With a measurement error model for replicated observations and the probability of agreement to compare measurement systems, we develop methods to compare measurement systems with either homoscedastic or heteroscedastic measurement errors under the Bayesian paradigm via Markov chain Monte Carlo methods. A graphical tool is described to check model adequacy. The methodology developed in the article is illustrated using a real dataset and through simulations.
dc.description.funderRegional MATH-AmSud program
dc.description.funderCNPq, Brazil
dc.fuente.origenWOS
dc.identifier.doi10.1080/08982112.2021.1931317
dc.identifier.eissn1532-4222
dc.identifier.issn0898-2112
dc.identifier.urihttps://doi.org/10.1080/08982112.2021.1931317
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/85151
dc.identifier.wosidWOS:000660350400001
dc.information.autorucFacultad de Matemáticas; Galea Rojas, Manuel Jesús; 0000-0001-9819-5843; 1008589
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final580
dc.pagina.inicio571
dc.publisherTaylor & Francis Inc
dc.revistaQuality Engineering
dc.rightsacceso restringido
dc.subjectGibbs sampler
dc.subjectLimits of agreement
dc.subjectMCMC methods
dc.subjectMethods comparison
dc.subjectReplicates
dc.subjectMeasurement Error
dc.subject.ddc510
dc.subject.deweyMatemática física y químicaes_ES
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleBayesian inference for the pairwise probability of agreement using data from several measurement systems
dc.typeartículo
sipa.codpersvinculados1008589
sipa.trazabilidadWOS;18-03-2022
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