National Physical Laboratory

Understanding & Evaluating Measurement Uncertainty

Aims & Objectives

  • Give improved understanding of measurement uncertainty, methods for measurement uncertainty evaluation and the circumstances in which those methods apply
  • Support the provision of scientifically defensible results
  • Emphasise model-based uncertainty evaluation
  • Help make better use of the GUM
  • Help tackle more challenging uncertainty evaluation problems than those covered directly by the GUM

Module details

The course is based on the considerable experience gained by the presenters of the needs of practitioners in the area of measurement uncertainty evaluation. The course covers:

  • Underpinning statistical concepts
  • Developing and using a measurement model
  • Formulating a problem of measurement uncertainty evaluation
  • The conventional approach to uncertainty evaluation of the GUM
  • Other approaches to uncertainty evaluation, including a Monte Carlo method
  • Extensions to problems with more than one measurand
  • Examples and case studies
  • Current international work on the GUM including the GUM Supplements

Delegates are encouraged to bring their own problems of uncertainty evaluation, for which there will be ample discussion time.

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