BAYESIAN ANALYSIS OF REPEATED MEASUREMENTS AFFECTED BY A SYSTEMATIC ERROR AND ITS APPLICATION TO CONFORMITY ASSESSMENT |
|---|
| Carlo Carobbi, Francesca Pennecchi |
- Abstract:
- The Bayesian analysis of a series of correlated indications of an unknown quantity is here presented when they are modelled by a joint Gaussian distribution and their covariance is assumed to be the (known) squared uncertainty associated with a systematic effect common to all the indications. An interesting application of the obtained results to the conformity assessment of a series production is also presented. A criterion is derived so that at least a portion p1 of the series production shows to have a characteristic value below a prescribed limit, with a probability not less than p2.
- Keywords:
- Bayesian inference, repeated measurements, systematic effect, conformity assessment
- Download:
- IMEKO-WC-2015-TC21-410.pdf
- DOI:
- -
- Event details
- Event name:
- XXI IMEKO World Congress
- Title:
Measurement in Research and Industry
- Place:
- Prague, CZECH REPUBLIC
- Time:
- 30 August 2015 - 04 September 2015