影响因子：0.6
DOI码：10.1017/S0004972722001691
发表刊物：Bulletin of the Australian Mathematical Society
刊物所在地：英国（剑桥大学出版社）
关键字：sensitivity analysis; computational model; sampling methods; robustness
摘要：Sensitivity analysis (SA), in particular global sensitivity analysis (GSA), is now regarded as a discipline coming of age, primarily for understanding and quantifying how model results and associated inferences depend on its parameters and assumptions. Indeed, GSA is seen as a key part of good modelling practice. However, inappropriate SA, such as insufficient convergence of sensitivity metrics, can lead to untrustworthy results and associated inferences. Good practice SA should also consider the robustness of results and inferences to choices in methods and assumptions.
备注：博士学位论文摘要（澳大利亚国立大学，2022年）；导师：Stephen Roberts、Barry Croke、Anthony Jakeman
论文类型：学位论文摘要
文献类型：期刊论文
卷号：107
页面范围：351-352
是否译文：否
发表时间：2023-02-06
第一作者：孙熙甫
通讯作者：孙熙甫