DOI码：10.18174/sesmo.18678
发表刊物：Socio-Environmental Systems Modelling
刊物所在地：荷兰
关键字：Global sensitivity analysis; Convergence; Good modeling practice
摘要：In global sensitivity analysis (GSA) of a model, a proper convergence analysis of metrics is essential for ensuring a level of confidence or trustworthiness in sensitivity results obtained, yet is somewhat deficient in practice. The level of confidence in sensitivity measures, particularly in relation to their influence and support for decisions from scientific, social and policy perspectives, is heavily reliant on the convergence of GSA. We review the literature and summarize the available methods for monitoring and assessing convergence of sensitivity measures based on application purposes.
备注：开放获取期刊；论文编号18678；出版年份2024（PDF未标注具体月日，发表时间暂记为2024-01-01）
论文类型：综述
论文编号：18678
文献类型：期刊论文
卷号：6
是否译文：否
发表时间：2024-01-01
合写作者：Anthony J. Jakeman, Barry F.W. Croke, Stephen G. Roberts, John D. Jakeman
第一作者：孙熙甫
通讯作者：孙熙甫