Cox, M G; Elster, C*; Wöger, W* (2007) Draft GUM Supplement 1 and Bayesian analysis. Metrologia, 44. L31-L32

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Abstract

The relation between uncertainty evaluation according to the recent draft of GUM Supple-ment 1 and the application of Bayesian statistics including Bayes' theorem is considered. In the case of a Type A evaluation of uncertainty, repeated measurement indications are re-garded as independently drawn from normal frequency distributions and, according to its sug-gestion, the numerical evaluation method of Supplement 1 is applied after having assigned scaled and shifted t-distributions to the corresponding input quantities. It will be shown that this approach is equivalent to a Bayesian analysis using Bayes¿ theorem with commonly-used prior distributions.

Item Type:	Article
Keywords:	uncertainty, evaluation
Subjects:	Mathematics and Scientific Computing Mathematics and Scientific Computing > Measurement Uncertainties
Last Modified:	02 Feb 2018 13:15
URI:	http://eprintspublications.npl.co.uk/id/eprint/3877

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