Rekodi ya ushahidi wa mbinu

Stochastic Sensitivity Analysis

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.

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Rekodi ya chanzo

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Stochastic Sensitivity Analysis (Probabilistic Sensitivity Analysis)

Rekodi ya mbinu ya kiajenda · process-pipeline / simulation

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
Briggs, A. H., Claxton, K., Sculpher, M. (2012). Decision Modelling for Health Economic Evaluation. Oxford University Press. · URL

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