What this work contributes
Describes propagation of input distributions through a measurement model.
Where the evidence stops
Monte Carlo propagation does not turn assumed distributions into measured instrument performance.
Keep the conditions with the result
- Conditions
- Probability distributions, coverage intervals and numerical propagation.
- Design use
- Publish distributions, correlations, seed and model alongside simulated intervals.
- Review access
- Official BIPM publication record inspected; method reference.
- Publication
- JCGM 101:2008
- DOI
- 10.59161/JCGM101-2008
Original source
Joint Committee for Guides in Metrology. Evaluation of measurement data — Supplement 1: Propagation of distributions using a Monte Carlo method. JCGM 101:2008 (2008).
How we use it
This record belongs to Measurement & replication. Its evidence label describes the cited work, not the maturity of a Metric Flight device. Follow the original methods, corrections and conditions before transferring a result to a different geometry or scale.
Editorial note reviewed 19 October 2026. AI assisted research discovery and synthesis. Citation metadata and claims were checked against primary publication or institutional records; full-text access varies. Read the source for the complete method.