Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Conventions and notation
5 Basic principles
6 GUM uncertainty framework
7 Monte Carlo method
8 Validation of the GUM uncertainty framework
using a Monte Carlo method
9 Examples
Annexes
A (informative) - Derivatives of complex multivariate
measurement functions
B (informative) - Evaluation of sensitivity coefficients
and covariance matrix for multivariate
measurement models
C (informative) - Co-ordinate system transformation
D (informative) - Glossary of principal symbols
Bibliography
Alphabetical index