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Draft GUM Supplement 1 and Bayesian analysis

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Clemens Elster1, Wolfgang Wöger2 and Maurice G Cox3

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SHORT COMMUNICATION

The relation between uncertainty evaluation according to the recent draft of GUM Supplement 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 regarded as independently drawn from normal frequency distributions and, according to its suggestion, 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.


Footnote
*  Formerly Physikalisch-Technische Bundesanstalt, Bundesallee 100, 38116 Braunschweig, Germany.
PACS

02.50.-r Probability theory, stochastic processes, and statistics

06.20.Dk Measurement and error theory

Subjects

Computational physics

Instrumentation and measurement

Dates

Issue 3 (June 2007)

Received 1 February 2007

Published 24 May 2007



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