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Probability, belief and success rate: comments on ‘On the meaning of coverage probabilities’
6 references·0 citing·18 second hop
Probability, belief and success rate: comments on ‘On the meaning of coverage probabilities’ (2010)Probability, belief and success rate: com…On the validity of methods of uncertainty evaluation (2009)On the validity of methods of…Contribution to a conversation about the Supplement 1 to the GUM (2009)Contribution to a conversatio…On the long-run success rate of coverage intervals (2008)On the long-run success rate …Evaluating methods of calculating measurement uncertainty (2008)Evaluating methods of calcula…On using the Monte Carlo method to calculate uncertainty intervals (2006)On using the Monte Carlo meth…Truth and Probability (1926)Truth and ProbabilityGuide to the Expression of Uncertainty in Measurement (1995)GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT (2006)Evaluation of measurement data — Supplement 1 to the “Guide to the expression of uncertainty in measurement” — Propagation of distributions using a Monte Carlo method (2008)Can coverage factor 2 be interpreted as an equivalent to 95% coverage level in uncertainty estimation? Two case studies (2009)In pursuit of a fit-for-purpose uncertainty guide (2016)On the meaning of measurement uncertainty (2018)A united interpretation of different uncertainty intervals (2005)Comparison of GUM and Monte Carlo method for evaluation measurement uncertainty of indirect measurements (2013)Non-probabilistic Bayesian update method for model validation (2018)Comparison between the conventional and Bayesian approaches to evaluate measurement data (2006)The use of a Monte Carlo method for evaluating uncertainty and expanded uncertainty (2006)Examples of S1 coverage intervals with very good and very bad long-run success rate (2016)Uncertainty estimation with a small number of measurements, part II: a redefinition of uncertainty and an estimator method (2017)Evolution of modern approaches to express uncertainty in measurement (2007)Difficulties arising from the representation of the measurand by a probability distribution (2009)Economic analysis, moral philosophy, and public policy (2006)The conceptual foundation of environmental decision support (2015)A Bayesian perspective on Likert scales and central tendency (2017)
this work references cited by second hop

References

  • 1926Truth and Probability179 cited
  • 2008Evaluating methods of calculating measurement uncertainty44 cited
  • 2006On using the Monte Carlo method to calculate uncertainty intervals33 cited
  • 2008On the long-run success rate of coverage intervals21 cited
  • 2009Contribution to a conversation about the Supplement 1 to the GUM20 cited
  • 2009On the validity of methods of uncertainty evaluation16 cited

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