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Statistical analysis of CIPM key comparisons based on the ISOGuide
4 references·16 citing·34 second hop
Statistical analysis of CIPM key comparisons based on the ISOGuide (2004)Statistical analysis of CIPM key comparis…On use of Bayesian statistics to make theGuide to the Expression of Uncertainty in Measurementconsistent (2003)On use of Bayesian statistics…The evaluation of key comparison data (2002)The evaluation of key compari…"GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT" (GUM) AND "MUTUAL RECOGNITION OF NATIONAL MEASUREMENT STANDARDS AND OF CALIBRATION AND MEASUREMENT CERTIFICATES ISSUED BY NATIONAL METROLOGY INSTITUTES" (MRA): SOME PROBLEMS OF DATA PROCESSING AND MEASUREMENT UNCERTAINTY EVALUATION (2001)"GUIDE TO THE EXPRESSION OF U…An approach to combining results from multiple methods motivated by the ISO GUM (2000)An approach to combining resu…A Practical Way to ISO/GUM Measurement Uncertainty for Analytical Assays Including In-House Validation Data (2018)A Practical Way to ISO/GUM Me…Explanatory power of degrees of equivalence in the presence of a random instability of the common measurand (2015)Explanatory power of degrees …Optimization of Calibrating HeNe Laser Interferometers by Sample-Period Simulation (2013)Optimization of Calibrating H…Analysis of key comparison data: critical assessment of elements of current practice with suggested improvements (2013)Analysis of key comparison da…Combining results from multiple evaluations of the same measurand (2011)Combining results from multip…Bayesian posterior predictivep-value of statistical consistency in interlaboratory evaluations (2008)Bayesian posterior predictive…Analysis of key comparison data and laboratory biases (2008)Analysis of key comparison da…The definition of the measurand in key comparisons: lessons learnt with thermal standards (2007)The definition of the measura…Combining inconsistent data from interlaboratory comparisons (2007)Combining inconsistent data f…Bayesian Approaches to Calculating a Reference Value in Key Comparison Experiments (2007)Bayesian Approaches to Calcul…Principles of probability and statistics for metrology (2006)Principles of probability and…Meaning and models in key comparisons, with measures of operability and interoperability (2006)Meaning and models in key com…Bayesian evaluation of comparison data (2006)Bayesian evaluation of compar…Forming a comparison reference value from different distributions of belief (2005)Forming a comparison referenc…Comments on ‘Statistical analysis of CIPM key comparisons based on the ISOGuide’ (2005)Comments on ‘Statistical anal…Bayesian approach to assessing uncertainty and calculating a reference value in key comparison experiments (2005)Bayesian approach to assessin…Combining Probability Distributions: A Critique and an Annotated Bibliography (1986)The evaluation of key comparison data: determining the largest consistent subset (2007)Processing Data from Interlaboratory Comparisons by the Method of Preference Aggregation (2016)Analysis of heteroscedastic measurement data by the self-refining method of interval fusion with preference aggregation – IF&PA (2021)Guide to the Expression of Uncertainty in Measurement (1995)GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT (2006)Bayesian statistics for determination of the reference value and degree of equivalence of inconsistent comparison data (2010)Linking of a RMO key comparison to a related CIPM key comparison using the degrees of equivalence of the linking laboratories (2010)Data comparisons and uncertainty: a roadmap for gaining in competence and improving the reliability of results (2019)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1985)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1989)Evolution of the ‘Guide to the Expression of Uncertainty in Measurement’ (2006)Evolution of modern approaches to express uncertainty in measurement (2007)Evaluation of measurement uncertainty and its numerical calculation by a Monte Carlo method (2008)Guidelines for evaluating and expressing the uncertainty of NIST measurement results (2018)A practical procedure for assigning a reference value and uncertainty in the frame of an interlaboratory comparison (2007)CODATA recommended values of the fundamental physical constants: 2010 (2012)A new method for estimating consensus values in interlaboratory comparisons (2017)The Consensus of Subjective Probability Distributions (1968)Analysis of the relationships between proficiency testing, validation of methods and estimation of measurement uncertainty: a qualitative study with experts (2016)Determination of eh , Using Macroscopic Quantum Phase Coherence in Superconductors: Implications for Quantum Electrodynamics and the Fundamental Physical Constants (1969)Classical and Bayesian interpretation of the Birge test of consistency and its generalized version for correlated results from interlaboratory evaluations (2008)Evaluation of uncertainty in the adjustment of fundamental constants (2016)The international vocabulary of basic and general terms in metrology (1985)Guidelines for evaluating and expressing the uncertainty of NIST measurement results (1994)Development and Certification of a Standard Reference Material for Vitamin D Metabolites in Human Serum (2011)Inter-laboratory calibration of natural gas round robins for δ2H and δ13C using off-line and on-line techniques (2012)Traceable size determination of nanoparticles, a comparison among European metrology institutes (2012)Weighted means statistics in interlaboratory studies (2009)Consensus building for interlaboratory studies, key comparisons, and meta-analysis (2017)Chemical purity using quantitative1H-nuclear magnetic resonance: a hierarchical Bayesian approach for traceable calibrations (2016)Bayesian alternative to the ISO-GUM's use of the Welch–Satterthwaite formula (2005)Analysis of key comparisons: estimating laboratories' biases by a fixed effects model using Bayesian model averaging (2010)Towards a new GUM—an update (2016)
this work references cited by second hop

References

  • 2002The evaluation of key comparison data426 cited
  • 2003On use of Bayesian statistics to make theGuide to the Expression of Uncertainty in Measurementconsistent180 cited
  • 2000An approach to combining results from multiple methods motivated by the ISO GUM135 cited
  • 2001"GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT" (GUM) AND "MUTUAL RECOGNITION OF NATIONAL MEASUREMENT STANDARDS AND OF CALIBRATION AND MEASUREMENT CERTIFICATES ISSUED BY NATIONAL METROLOGY INSTITUTES" (MRA): SOME PROBLEMS OF DATA PROCESSING AND MEASUREMENT UNCERTAINTY EVALUATION92 cited

Cited by

  • 2007Bayesian Approaches to Calculating a Reference Value in Key Comparison Experiments36 cited
  • 2013Analysis of key comparison data: critical assessment of elements of current practice with suggested improvements33 cited
  • 2008Analysis of key comparison data and laboratory biases31 cited
  • 2007Combining inconsistent data from interlaboratory comparisons31 cited
  • 2005Forming a comparison reference value from different distributions of belief30 cited
  • 2008Bayesian posterior predictivep-value of statistical consistency in interlaboratory evaluations23 cited
  • 2006Principles of probability and statistics for metrology21 cited
  • 2006Bayesian evaluation of comparison data18 cited
  • 2006Meaning and models in key comparisons, with measures of operability and interoperability16 cited

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  • 2013Optimization of Calibrating HeNe Laser Interferometers by Sample-Period Simulation15 cited
  • 2005Bayesian approach to assessing uncertainty and calculating a reference value in key comparison experiments15 cited
  • 2015Explanatory power of degrees of equivalence in the presence of a random instability of the common measurand13 cited
  • 2005Comments on ‘Statistical analysis of CIPM key comparisons based on the ISOGuide’13 cited
  • 2011Combining results from multiple evaluations of the same measurand12 cited
  • 2018A Practical Way to ISO/GUM Measurement Uncertainty for Analytical Assays Including In-House Validation Data12 cited
  • 2007The definition of the measurand in key comparisons: lessons learnt with thermal standards12 cited