Combining inconsistent data

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dc.contributor.authorLira Canguilhem, Ignacio
dc.date.accessioned2022-05-11T20:26:39Z
dc.date.available2022-05-11T20:26:39Z
dc.date.issued2007
dc.description.abstractAt present, the most widely used procedure for finding the value of a quantity from data obtained by different observers involves calculating the inverse-variance weighted mean of the observers' estimates. This method produces reasonable results if the data are consistent. However, in many cases 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 treat this problem. It is first shown that the weighted mean method results from the assumption that the observers' biases are identically zero. If the data do not support this assumption, other evaluation methods are needed. Three such methods are then derived, application of which is discussed through a simulated example.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/AMUEM.2007.4362578
dc.identifier.isbn9781424409327
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4362578
dc.identifier.urihttps://doi.org/10.1109/AMUEM.2007.4362578
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63813
dc.information.autorucEscuela de ingeniería ; Lira Canguilhem, Ignacio ; S/I ; 99450
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final97
dc.pagina.inicio93
dc.publisherIEEE
dc.relation.ispartofIEEE International Workshop on Advanced Methods for Uncertainty Estimation in Measurement (2007 : Sardinia, Italia)
dc.rightsacceso restringido
dc.subjectTesting
dc.subjectTellurium
dc.subjectParticle measurements
dc.subjectMeasurement uncertainty
dc.subjectMechanical variables measurement
dc.subjectData engineering
dc.subjectBayesian methods
dc.subjectMetrology
dc.subjectWeight measurement
dc.subjectElementary particles
dc.titleCombining inconsistent dataes_ES
dc.typecomunicación de congreso
sipa.codpersvinculados99450
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