Abstract
A new unified global sensitivity analysis framework is introduced for systems whose input probability distribution can be independent and/or correlated. For correlated inputs, three sensitivity indices are defined to fully describe the total, structural (reflecting the system structure) and correlative (reflecting the correlated input probability distribution) contributions for an input or a subset of inputs. The magnitudes of all three indices need to be considered in order to quantitatively determine the relative importance of the inputs. For independent inputs, these indices reduce to a single index consistent with previous variance-based methods. This analysis is especially useful for the treatment of laboratory and field data.
Original language | English (US) |
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Pages (from-to) | 7587-7589 |
Number of pages | 3 |
Journal | Procedia - Social and Behavioral Sciences |
Volume | 2 |
Issue number | 6 |
DOIs | |
State | Published - 2010 |
Event | 6th International Conference on Sensitivity Analysis of Model Output, SAMO 2010 - Milan, Italy Duration: Jul 19 2010 → Jul 22 2010 |
All Science Journal Classification (ASJC) codes
- General Social Sciences
- General Psychology
Keywords
- Data correlation
- Meta-modeling
- Sensitivity analysis
- Variance analysis