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Performance Evaluation of Approaches to Combining Results From Multiple Methods

Published

Author(s)

Hung-Kung Liu, Nien F. Zhang

Abstract

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

Keywords

Bayes, coverage probability, ISO GUM, simulation, uncertainty

Citation

Liu, H. and Zhang, N. (2003), Performance Evaluation of Approaches to Combining Results From Multiple Methods, Proceedings of the 2002 Joint Statistical Meetings (Accessed March 4, 2024)
Created April 1, 2003, Updated February 17, 2017