Process / pipelineSimulation / optimization
确定性敏感性分析 — 系统性参数变异以评估模型稳健性
确定性敏感性分析（Deterministic Sensitivity Analysis, DSA）旨在测试当单个或组合输入参数在合理范围内变化时，模型输出如何随之改变。这种变化可以是逐个参数的，也可以是结构化组合的，但不涉及概率抽样。它是经济建模、决策树和数学规划中的标准方法，用于识别哪些参数驱动结论，并向监管机构、评审人员和利益相关者展示模型的稳健性。
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来源
- Saltelli, A., Tarantola, S., Campolongo, F., & Ratto, M. (2004). Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models. John Wiley & Sons, Chichester. ISBN: 9780470870938
- Briggs, A., Sculpher, M., & Buxton, M. (1994). Uncertainty in the economic evaluation of health care technologies: the role of sensitivity analysis. Health Economics, 3(2), 95–104. DOI: 10.1002/hec.4730030206 ↗
如何引用本页
ScholarGate. (2026, June 3). Deterministic Sensitivity Analysis — Systematic Parameter Variation for Model Robustness. ScholarGate. https://scholargate.app/zh/simulation/deterministic-sensitivity-analysis
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