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EVALUATION OF MEASUREMENT DATA - SUPPLEMENT 1 TO THE "GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT" - PROPAGATION OF DISTRIBUTIONS USING A MONTE CARLO METHOD
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Published date: 12-01-2013
Publisher: Organisation Internationale de Metrologie Legale
OIML Foreword NoticeForeword Introduction1 Scope2 Normative references3 Terms and definitions4 Conventions and notation5 Basic principles6 Probability density functions for the input quantities7 Implementation of a Monte Carlo method8 Validation of results9 ExamplesAnnexesA - Historical perspectiveB - Sensitivity coefficients and uncertainty budgetsC - Sampling from probability distributionsD - Continuous approximation to the distribution function for the output quantityE - Coverage interval for the four-fold convolution of a rectangular distributionF - Comparison loss problemG - Glossary of principal symbolsBibliographyAlphabetical index
Describes a general numerical approach, consistent with the broad principles of the GUM, for carrying out the calculations required as part of an evaluation of measurement uncertainty.
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