The problem of determining a consensus mean and its uncertainty from the results of multiple measurement methods or laboratories is an important problem. Many solutions, both Bayesian and non-Bayesian, to this problem have been proposed over the years, including those developed by NIST. However, objective performance comparisons of the proposed solutions have not been studied. In this paper, we will examine desirable criteria for comparison, and use them to compare the existing solutions.
Proceedings Title: Proceedings of the 2002 Joint Statistical Meetings
Pub Type: Conferences
Bayes, coverage probability, ISO GUM, simulation, uncertainty