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Análise de Sensibilidade Estocástica×Análise de Sensibilidade×
ÁreaSimulaçãoTomada de decisão
FamíliaProcess / pipelineMCDM
Ano de origem1990s–2000s2004
Autor originalSaltelli, A. et al.; Claxton, K. et al. (health economics stream)Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M.
TipoProbabilistic uncertainty quantification techniqueRobustness wrapper — parameter / weight perturbation sensitivity indices
Fonte seminalSaltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. Wiley. ISBN: 9780470059975Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗
Outros nomesPSA, Probabilistic Sensitivity Analysis, Stochastic SA, Monte Carlo Sensitivity Analysis
Relacionados50
ResumoStochastic 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.
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ScholarGateComparar métodos: Stochastic Sensitivity Analysis · SENSITIVITY-ANALYSIS. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare