The relevance of using a Monte Carlo method to evaluate Uncertainty in mass calibration |
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| J. A. Sousa, A. S. Ribeiro, A. B. Forbes, P. M. Harris, F. Carvalho, L. Bacelar |
- Abstract:
- In this paper we give the results of four methods of calculating uncertainty associated with a mass calibration problem, three based on different implementations – the first and second order law of propagation of uncertainty and the Monte Carlo method – of the generally methodology described by the Guide to the Expression of Uncertainty in Measurement, the fourth based on a Bayesian formulation. Nonlinearities in the model for the calibration problem means that the first order approach can be an unreliable method for evaluating uncertainties, relative to the other three approaches.
- Keywords:
- modelling, uncertainty, Monte Carlo, mass calibration
- Download:
- IMEKO-TC3-2007-009u.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC3
- Event name:
- Cultivating Metrological Knowledge
- Title:
20th Conference on Measurement of Force, Mass and Torque (together with 3rd TC16 Conference on Pressure Measurement & 1st TC22 Conference on Vibration Measurement)
- Place:
- Merida, MEXICO
- Time:
- 27 November 2007 - 01 December 2007