2. Bayesian Approach to the Full Statistical Model
The Bayesian approach to assessing measurement uncertainty is particularly well-suited when prior information about the measurand is available (for example: the sign of the measured quantity) or when the relationship between quantities is represented by a statistical model.
Instead of being modeled to inform an input variable X of the measurement model in the Bayesian GUM, the data are modeled in terms of their relationship to the measurand Y and the other input variables ...
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Bayesian Approach to the Full Statistical Model
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"Instrumentation and measurement methods"
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