Process / pipelineSimulation / optimization
稳健性敏感性分析 — 测试模型结论在不确定性下的稳健程度
稳健性敏感性分析（Robust Sensitivity Analysis, RSA）系统地评估模型输出的变化在多大程度上可归因于模型输入的变异性或不确定性，并明确关注在广泛合理输入条件下依然有效的结论。它超越了标准的敏感性分析，不仅询问哪些输入最重要，还询问哪些发现是真正稳健的——即无论在不确定性下做出何种假设都能保持稳定的。
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来源
- 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
- Pianosi, F., Beven, K., Freer, J., Hall, J. W., Rougier, J., Stephenson, D. B., & Wagener, T. (2016). Sensitivity analysis of environmental models: A systematic review with practical workflow. Environmental Modelling & Software, 79, 214-232. DOI: 10.1016/j.envsoft.2016.02.008 ↗
如何引用本页
ScholarGate. (2026, June 3). Robust Sensitivity Analysis — Uncertainty-resistant examination of model output variation under parameter perturbations. ScholarGate. https://scholargate.app/zh/simulation/robust-sensitivity-analysis
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