Original paper

Multivariate global sensitivity analysis for dynamic models based on wavelet analysis

Volume: 170, Pages: 20 - 30
Published: Feb 1, 2018
Abstract
Dynamic models with time-dependent output are widely used in engineering for risk assessment and decision making. Global sensitivity analysis for these models is very useful for simplifying the model, improving the model performance, etc. The existent covariance decomposition based global sensitivity analysis method combines the variance based sensitivity analysis results of the model output at all the instants, which just utilizes the...
Paper Details
Title
Multivariate global sensitivity analysis for dynamic models based on wavelet analysis
Published Date
Feb 1, 2018
Volume
170
Pages
20 - 30
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.