Optimized Measurement Uncertainty and Decision-Making

  1. French College of Metrology
  1. L. R. Pendrill

Published Online: 3 FEB 2010

DOI: 10.1002/9780470611371.ch36

Transverse Disciplines in Metrology

Transverse Disciplines in Metrology

How to Cite

French College of Metrology (2009) Optimized Measurement Uncertainty and Decision-Making, in Transverse Disciplines in Metrology, ISTE, London, UK. doi: 10.1002/9780470611371.ch36

Author Information

  1. SP Technical Research Institute of Sweden, Measurement Technology, Box 857, SE-50115 Borås, Sweden

Publication History

  1. Published Online: 3 FEB 2010
  2. Published Print: 1 JAN 2009

ISBN Information

Print ISBN: 9781848210486

Online ISBN: 9780470611371



  • Measurement;
  • Uncertainty;
  • Sampling;
  • Decision theory;
  • Conformity assessment;
  • Risks;
  • Costs


This work re-examines, in the new light provided by a decision-theory approach, traditional rules in conformity assessment of setting limits on measurement uncertainty and risks – including maximum permissible uncertainty – specified as a fixed fraction (typically 1/3) of the region of permissible values – the “shared risk” principle, as well as operating characteristics in traditional statistical sampling planning. One of the first applications of an optimized uncertainty methodology in testing and sampling by attribute is reported. This goes beyond traditional statistical sampling plans in that it assigns costs to both testing and consequences of incorrect decision-making. Examples are taken from the measurement of utilities, the environment and pre-packaged goods covered by legal metrology – where costs are in most cases reasonably well defined for both consumer, producer and authorities – as well as other important conformity assessment areas.