Practical sheet | REF: FIC1500 V1

Understanding the Bayesian approach to metrology

Author: Stéphane PUYDARRIEUX

Publication date: June 10, 2015 | Lire en français

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4. The benefits of the Bayesian approach

To illustrate the contribution of the Bayesian approach, we'll consider three examples, in which we vary only the standard deviation of the "a priori" distribution. The examples take the values from the figures "Two different true values can give the same thing" and "Single measurement of a sample of unknown true value", i.e. normal probability distributions of mean 50 for the "a priori" distribution and 57 for the distribution of measurements.

4.1 Example 1

The "a priori" law has a higher standard deviation than the distribution law of the measurements (for example, belonging to a dispersed population).

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