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A minimum entropy criterion for distribution selection for measurement uncertainty analysis
16 references·0 citing·47 second hop
A minimum entropy criterion for distribution selection for measurement uncertainty analysis (2023)A minimum entropy criterion for distribut…Comparison of three approaches for computing measurement uncertainties (2020)Comparison of three approache…On the transferability of the GUM-S1 type A uncertainty (2019)On the transferability of the…Why the scaled and shifted t-distribution should not be used in the Monte Carlo method for estimating measurement uncertainty? (2018)Why the scaled and shifted t-…A unified theory of measurement errors and uncertainties (2018)A unified theory of measureme…Uncertainty estimation with a small number of measurements, part II: a redefinition of uncertainty and an estimator method (2017)Uncertainty estimation with a…Uncertainty estimation with a small number of measurements, part I: new insights on the t -interval method and its limitations (2017)Uncertainty estimation with a…Optimal estimator for uncertainty-based measurement quality control (2015)Optimal estimator for uncerta…Uncertainty-based measurement quality control (2014)Uncertainty-based measurement…Uncertainty in measurement: a review of monte carlo simulation using microsoft excel for the calculation of uncertainties through functional relationships, including uncertainties in empirically derived constants. (2014)Uncertainty in measurement: a…Evaluating the uncertainty of input quantities in measurement models (2014)Evaluating the uncertainty of…Distributions for Uncertainty Analysis 1 (2007)Distributions for Uncertainty…A forgotten fact about the standard deviation (2007)A forgotten fact about the st…Is Semantic Information Meaningful Data? (2005)Is Semantic Information Meani…Bayesian alternative to the ISO-GUM's use of the Welch–Satterthwaite formula (2005)Bayesian alternative to the I…Assigning probability density functions in a context of information shortage (2004)Assigning probability density…Limitations of the Welch-Satterthwaite approximation for measurement uncertainty calculations (2000)Limitations of the Welch-Satt…Uncertainty of Measurement: A Review of the Rules for Calculating Uncertainty Components through Functional Relationships. 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References

  • 2005Is Semantic Information Meaningful Data?375 cited
  • 2014Uncertainty in measurement: a review of monte carlo simulation using microsoft excel for the calculation of uncertainties through functional relationships, including uncertainties in empirically derived constants.91 cited
  • 2000Limitations of the Welch-Satterthwaite approximation for measurement uncertainty calculations56 cited
  • 2005Bayesian alternative to the ISO-GUM's use of the Welch–Satterthwaite formula41 cited
  • 2018A unified theory of measurement errors and uncertainties30 cited
  • 2020Comparison of three approaches for computing measurement uncertainties29 cited
  • 2014Evaluating the uncertainty of input quantities in measurement models29 cited
  • 2007Distributions for Uncertainty Analysis 121 cited
  • 2004Assigning probability density functions in a context of information shortage21 cited
  • 2017Uncertainty estimation with a small number of measurements, part II: a redefinition of uncertainty and an estimator method19 cited
  • 2007A forgotten fact about the standard deviation19 cited
  • 2014Uncertainty-based measurement quality control19 cited
  • 2019On the transferability of the GUM-S1 type A uncertainty15 cited
  • 2017Uncertainty estimation with a small number of measurements, part I: new insights on the t -interval method and its limitations

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13 cited
  • 2018Why the scaled and shifted t-distribution should not be used in the Monte Carlo method for estimating measurement uncertainty?12 cited
  • 2015Optimal estimator for uncertainty-based measurement quality control9 cited
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