Combining inconsistent data from interlaboratory comparisons

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dc.contributor.authorLira, Ignacio
dc.date.accessioned2025-01-21T01:05:23Z
dc.date.available2025-01-21T01:05:23Z
dc.date.issued2007
dc.description.abstractThe most widely used procedure for finding the value of a quantity from data obtained from interlaboratory comparisons involves calculating the inverse-variance weighted mean of the laboratories' estimates. This method produces adequate results if the data are consistent. However, sometimes a consistency test reveals the possible existence of outliers that nevertheless have to be included in the evaluation task. In this paper the Bayesian understanding of probability is used to derive three methods that may be applied in the case when the data appear to be inconsistent. The performances of these methods are compared through a simulated example.
dc.fuente.origenWOS
dc.identifier.doi10.1088/0026-1394/44/5/019
dc.identifier.eissn1681-7575
dc.identifier.issn0026-1394
dc.identifier.urihttps://doi.org/10.1088/0026-1394/44/5/019
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/95905
dc.identifier.wosidWOS:000250140500022
dc.issue.numero5
dc.language.isoen
dc.pagina.final421
dc.pagina.inicio415
dc.revistaMetrologia
dc.rightsacceso restringido
dc.titleCombining inconsistent data from interlaboratory comparisons
dc.typeartículo
dc.volumen44
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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