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| Stokastisk Følsomhedsanalyse× | Følsomhedsanalyse× | |
|---|---|---|
| Fagområde≠ | Simulering | Beslutningstagning |
| Familie≠ | Process / pipeline | MCDM |
| Oprindelsesår≠ | 1990s–2000s | 2004 |
| Ophavsperson≠ | Saltelli, A. et al.; Claxton, K. et al. (health economics stream) | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. |
| Type≠ | Probabilistic uncertainty quantification technique | Robustness wrapper — parameter / weight perturbation sensitivity indices |
| Oprindelig kilde≠ | Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. Wiley. ISBN: 9780470059975 | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗ |
| Aliasser≠ | PSA, Probabilistic Sensitivity Analysis, Stochastic SA, Monte Carlo Sensitivity Analysis | — |
| Relaterede≠ | 5 | 0 |
| Resumé≠ | Stochastic Sensitivity Analysis (PSA) extends classical one-at-a-time sensitivity testing by representing uncertain model inputs as probability distributions and propagating them through the model via Monte Carlo sampling. The result is a full distribution of possible outputs, together with rankings of which inputs drive output variance the most — enabling robust, evidence-grounded conclusions under uncertainty. | SENSITIVITY-ANALYSIS (Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations) is a ranking multi-criteria decision-making (MCDM) method introduced by Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. in 2004. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatasæt ↗ |
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