OIML G 1-101 : 2008

OIML Foreword
Notice
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Conventions and notation
5 Basic principles
6 Probability density functions for the input quantities
7 Implementation of a Monte Carlo method
8 Validation of results
9 Examples
Annexes
A - Historical perspective
B - Sensitivity coefficients and uncertainty budgets
C - Sampling from probability distributions
D - Continuous approximation to the distribution function
    for the output quantity
E - Coverage interval for the four-fold convolution of a
    rectangular distribution
F - Comparison loss problem
G - Glossary of principal symbols
Bibliography
Alphabetical 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.