Articlebronze2014

Interval estimations in metrology

9 citations0/0 files storedMetrologia

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Scientific Measurement and Uncertainty Evaluation Probability and Statistical Research Statistical Methods and Bayesian Inference

Abstract

This paper investigates interval estimation for a measurand that is known to be positive. Both the Neyman and Bayesian procedures are considered and the difference between the two, not always perceived, is discussed in detail. A solution is proposed to a paradox originated by the frequentist assessment of the long-run success rate of Bayesian intervals.

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References

2006Comparison between the conventional and Bayesian approaches to evaluate measurement data 2008Evaluating methods of calculating measurement uncertainty 2008On the long-run success rate of coverage intervals 2009Contribution to a conversation about the Supplement 1 to the GUM 2012A Bayesian paradox and its impact on the GUM approach to uncertainty 2009On the validity of methods of uncertainty evaluation 2010Probability, belief and success rate: comments on ‘On the meaning of coverage probabilities’2008Fiducial intervals for the magnitude of a complex-valued quantity

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