Evaluation of measurement data—Supplement 1 to the GUM—Propagation of distributions using a Monte Carlo method¶
Joint Committee for Guides in Metrology. (2008). Evaluation of measurement data—Supplement 1 to the GUM—Propagation of distributions using a Monte Carlo method.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Monte Carlo Stack Simulation
- Its strength is fidelity where the formulas break: non-linear fits, non-normal contributors, and correlated deviations, plus a built-in ranking of which inputs own the failing tail — turning "the stack is too wide" into "tilt is the problem."
This sourceUses Monte Carlo propagation for nonlinear models, non-Gaussian input distributions, and correlated input quantities where linearized uncertainty propagation may be inadequate.
- Its strength is fidelity where the formulas break: non-linear fits, non-normal contributors, and correlated deviations, plus a built-in ranking of which inputs own the failing tail — turning "the stack is too wide" into "tilt is the problem."
Verification¶
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Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
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Registry ID ref:8c5b26cc8eab · see in the full table