影响因子：5.2
DOI码：10.1016/j.envsoft.2021.105310
发表刊物：Environmental Modelling and Software
刊物所在地：英国
关键字：Global sensitivity analysis; Test function; Active subspace; Activity score; Variance-based Sobol' method; Morris method
摘要：Active Subspaces is a recently developed concept that identifies essential directions of the response surface of a model, providing sensitivity metrics known as activity scores. We compare activity scoring with the Sobol' and the Morris global methods using a series of well-known benchmark test functions with exactly computable sensitivities. In the ranking context, we analyse the accuracy, efficiency, impact of sampling method, convergence rate, and confidence interval estimation through both bootstrapping and replication.
论文类型：研究论文
论文编号：105310
文献类型：期刊论文
卷号：149
ISSN号：1364-8152
是否译文：否
发表时间：2022-01-12
合写作者：Barry Croke, Anthony Jakeman, Stephen Roberts
第一作者：孙熙甫
通讯作者：孙熙甫