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Probability assignment to systematic deviations by the Principle of Maximum Entropy
0 references·13 citing·42 second hop
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Cited by

  • 2001Bayesian evaluation of the standard uncertainty and coverage probability in a simple measurement model44 cited
  • 2016The GUM revision: the Bayesian view toward the expression of measurement uncertainty43 cited
  • 2012Evaluation of measurement data – The role of measurement uncertainty in conformity assessment38 cited
  • 2003A probabilistic model for measurement processes36 cited
  • 1999A Bayesian approach to the consumer's and producer's risks in measurement32 cited
  • 2008A probabilistic approach to the analysis of measurement processes30 cited
  • 2001Estimation of measurement uncertainties - an alternative to the ISO Guide25 cited
  • 2005On two methods to evaluate the uncertainty of derivatives calculated from polynomials fitted to experimental data25 cited
  • 2007The Principle of Maximum Entropy Applied in the Evaluation of the Measurement Uncertainty22 cited
  • 2004Assigning probability density functions in a context of information shortage21 cited
  • 2017Moments and maximum entropy method for expanded uncertainty estimation in measurements15 cited
  • 2005Revisiting the problem of the evaluation of the uncertainty associated with a single measurement12 cited
  • 2015A multi-thermogram-based Bayesian model for the determination of the thermal diffusivity of a material10 cited

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