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Comparison of Pseudorandom Number Generators and Their Application for Uncertainty Estimation Using Monte Carlo Simulation
9 references·0 citing·37 second hop
Comparison of Pseudorandom Number Generators and Their Application for Uncertainty Estimation Using Monte Carlo Simulation (2021)Comparison of Pseudorandom Number Generat…Comparison of MCM and GUM Method for Evaluating Measurement Uncertainty of Wind Speed by Pitot Tube (2019)Comparison of MCM and GUM Met…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-…Measurement uncertainty evaluation in whiplash test model via neural network and support vector machine-based Monte Carlo method (2018)Measurement uncertainty evalu…Uncertainty-based measurement quality control (2014)Uncertainty-based measurement…Evaluation of measurement data — Guide to the expression of uncertainty in measurement (2008)Evaluation of measurement dat…A generalization of the Welch–Satterthwaite formula for use with correlated uncertainty components (2007)A generalization of the Welch…Comparison of ISO-GUM, draft GUM Supplement 1 and Bayesian statistics using simple linear calibration (2006)Comparison of ISO-GUM, draft …Bayesian alternative to the ISO-GUM's use of the Welch–Satterthwaite formula (2005)Bayesian alternative to the I…Limitations of the Welch-Satterthwaite approximation for measurement uncertainty calculations (2000)Limitations of the Welch-Satt…Guide to the Expression of Uncertainty in Measurement (1995)On use of Bayesian statistics to make theGuide to the Expression of Uncertainty in Measurementconsistent (2003)Comparison of GUM Supplement 1 and Bayesian analysis using a simple linear calibration model (2008)Contribution to a conversation about the Supplement 1 to the GUM (2009)Equivalence of alternative Bayesian procedures for evaluating measurement uncertainty (2010)How to revise the GUM? (2008)Comparing methods for evaluating measurement uncertainty given in the JCGM ‘Evaluation of Measurement Data’ documents (2016)Guidelines for evaluating and expressing the uncertainty of NIST measurement results (2018)Meaningful expression of uncertainty in measurement (2022)The Specification of Rules for Rejecting Too Variable a Product, with Particular Reference to an Electric Lamp Problem (1936)Bayesian evaluation of the standard uncertainty and coverage probability in a simple measurement model (2001)The GUM revision: the Bayesian view toward the expression of measurement uncertainty (2016)Optimised Measurement Uncertainty and Decision-Making in Conformity Assessment (2007)Operating ‘cost’ characteristics in sampling by variable and attribute (2008)Evaluation of Measurement Data: The Role of Measurement Uncertainty in Conformity Assessment (2013)Optimal estimator for uncertainty-based measurement quality control (2015)Uncertainty estimation with a small number of measurements, part I: new insights on the t -interval method and its limitations (2017)Bottom-up and top-down uncertainty quantification for measurements (2020)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Guide to the Expression of Uncertainty in Measurement (2013)Six sigma robust optimization method based on a pseudo single-loop strategy and RFR-DBN with insufficient samples (2021)Non-intrusive smoothed stochastic finite element method with multi-source uncertainties (2026)Editorial (2015)A minimum entropy criterion for distribution selection for measurement uncertainty analysis (2023)A propensity-based framework for measurement uncertainty analysis (2023)GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT (2006)Uncertainty Evaluation by Monte Carlo Method (2019)GUM method for evaluation of measurement uncertainty: BPL long wave time service monitoring (2021)Uncertainty evaluation for wind speed measurement part (1): “GUM method and Monte Carlo method” (2024)Statistics for Experimenters (1979)Monte Carlo Simulations Applied to Uncertainty in Measurement (2013)Theory of sampling (TOS) versus measurement uncertainty (MU) – A call for integration (2014)Thermal expansion coefficient of single-crystal silicon from 7 K to 293 K (2015)Evaluating methods of calculating measurement uncertainty (2008)In pursuit of a fit-for-purpose uncertainty guide (2016)Quantifying uncertainty in railway noise measurement (2019)
this work references cited by second hop

References

  • 2008Evaluation of measurement data — Guide to the expression of uncertainty in measurement2,779 cited
  • 2000Limitations of the Welch-Satterthwaite approximation for measurement uncertainty calculations56 cited
  • 2007A generalization of the Welch–Satterthwaite formula for use with correlated uncertainty components44 cited
  • 2005Bayesian alternative to the ISO-GUM's use of the Welch–Satterthwaite formula41 cited
  • 2006Comparison of ISO-GUM, draft GUM Supplement 1 and Bayesian statistics using simple linear calibration31 cited
  • 2014Uncertainty-based measurement quality control19 cited
  • 2018Measurement uncertainty evaluation in whiplash test model via neural network and support vector machine-based Monte Carlo method18 cited
  • 2019Comparison of MCM and GUM Method for Evaluating Measurement Uncertainty of Wind Speed by Pitot Tube18 cited
  • 2018Why the scaled and shifted t-distribution should not be used in the Monte Carlo method for estimating measurement uncertainty?12 cited

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