Bayesian Approach to Assessing Uncertainty and Calculating a Reference Value in Key Comparison Experiments.
International experiments called Key Comparisons pose an interesting statistical problem, the estimation of a quantity called a Reference Value. There are many possible forms that this estimator can take. Recently, this topic has received much international attention. In this paper, it is argued that a fully Bayesian approach to this problem is compatible with the current practice of metrology, and can easily be used to create statistical models which satisfy the varied properties and assumptions of these experiments.
National Institute of Standards and Technology, Gaithersburg, MD 20899-8980.
Blaza
B
Toman
Bayesian hierarchical models; Markov Chain Monte Carlo methods; linear opinion pool; synthesis of probability distributions