Sensitivity analysis with event tree analysis
Sensitivity analysis with event tree analysis (SA-ETA) is a quantitative risk assessment approach that systematically varies the input probabilities of an event tree model to determine which branch probabilities or initiating event frequencies most strongly influence the calculated probability of undesired outcomes. It extends classical event tree analysis by ranking the uncertainty contributions of individual inputs, thereby guiding risk-reduction efforts toward the parameters that matter most.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. Wiley. · ISBN 978-0470059975
- Event tree analysis. Wikipedia. · URL
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
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Related methods
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