A Bayesian approach to the consumer's and producer's risks in measurement

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dc.contributor.authorLira, I
dc.date.accessioned2024-01-10T12:04:05Z
dc.date.available2024-01-10T12:04:05Z
dc.date.issued1999
dc.description.abstractIn industrial practice, the decision to accept or reject an inspected item is usually made on the basis of measurement information. Since this information is rarely complete, it is not possible in general to be absolutely certain about the value of the measurand. As a consequence, incorrect decisions may be made. In this paper, formulae for the probabilities of improperly accepting or rejecting an item are derived. Bayesian statistics provides the theoretical framework, and use is made of the Principle of Maximum Entropy. Applications to the inspection of workpieces and to the verification of measuring instruments are considered and examples are given. The conventional, frequency-based approach is also discussed.
dc.fechaingreso.objetodigital2024-04-26
dc.format.extent6 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1088/0026-1394/36/5/1
dc.identifier.issn0026-1394
dc.identifier.urihttps://doi.org/10.1088/0026-1394/36/5/1
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/75676
dc.identifier.wosidWOS:000085325700001
dc.information.autorucIngeniería;Lira I;S/I;99450
dc.issue.numero5
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final402
dc.pagina.inicio397
dc.publisherBUREAU INT POIDS MESURES
dc.revistaMETROLOGIA
dc.rightsacceso restringido
dc.subjectUNCERTAINTY
dc.subject.ods09 Industry, Innovation and Infrastructure
dc.subject.odspa09 Industria, innovación e infraestructura
dc.titleA Bayesian approach to the consumer's and producer's risks in measurement
dc.typeartículo
dc.volumen36
sipa.codpersvinculados99450
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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