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Bayesian uncertainty analysis compared with the application of the GUM and its supplements

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References

1998Eliciting expert beliefs in substantial practical applications [Read before The Royal Statistical Society at ameeting on 'Elicitation' on Wednesday, april 16th, 1997, the President, Professor A. F. M. Smithin the Chair]309 cited
2003On use of Bayesian statistics to make theGuide to the Expression of Uncertainty in Measurementconsistent180 cited
2012Measurement Science and Technology: a historical perspective111 cited
2007Assessment of measurement uncertainty via observation equations92 cited
1998Assessing uncertainty in measurement88 cited
2009Bayesian uncertainty analysis under prior ignorance of the measurand versus analysis using the Supplement 1 to theGuide: a comparison47 cited
2011The GUM, Bayesian inference and the observation and measurement equations42 cited

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2016Numerical inversion of a characteristic function: An alternative tool to form the probability distribution of output quantity in linear measurement models35 cited
2021The GUM perspective on straight-line errors-in-variables regression31 cited
2018Analysis and Comparison of Bayesian Methods for Measurement Uncertainty Evaluation31 cited
2020Comparison of three approaches for computing measurement uncertainties29 cited
2014Evaluating the uncertainty of input quantities in measurement models29 cited
2015A tutorial on Bayesian Normal linear regression29 cited

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2024A Shared Metrological Framework for Trustworthy Virtual Experiments and Digital Twins19 cited

2020Guidance on Bayesian uncertainty evaluation for a class of GUM measurement models17 cited

2018Uncertainty evaluation of the Unified Method for thermo-electric module characterization13 cited