The relevance of using a Monte Carlo method to evaluate Uncertainty in mass calibration

• 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:

  _unreg_tc3-2007.009

Event details:

• IMEKO TC:

  TC3
• Event name:

  Cultivating Metrological Knowledge
• Title:

  20^th Conference on Measurement of Force, Mass and Torque (together with 3^rd TC16 Conference on Pressure Measurement & 1^st TC22 Conference on Vibration Measurement)

• Place:

  Merida, MEXICO
• Time:

  27 November 2007 - 1 December 2007