1. A new kind of sensitivity index for multivariate output
- Author
-
Luyi Li, Danqing Wu, and Zhenzhou Lu
- Subjects
021110 strategic, defence & security studies ,Multivariate statistics ,Computational model ,Engineering ,021103 operations research ,Index (economics) ,Multivariate analysis ,business.industry ,Cumulative distribution function ,0211 other engineering and technologies ,Poison control ,02 engineering and technology ,Industrial and Manufacturing Engineering ,Reliability engineering ,Moment (mathematics) ,Statistics ,Sensitivity (control systems) ,Safety, Risk, Reliability and Quality ,business - Abstract
Mathematical and computational models with correlated multivariate output are commonly used for risk assessment and decision support in engineering. Traditional methods for sensitivity analysis of the model with scalar output fail to provide satisfactory results for this multivariate case. In this work, we introduce a new sensitivity index which looks at the influence of input uncertainty on the entire distribution of the multivariate output without reference to a specific moment of the output. The definition of the new index is based on the multivariate probability integral transformation (PIT), which can take into account both of the uncertainties and the correlations among multivariate output. The mathematical properties of the proposed sensitivity index are discussed and its differences with the sensitivity indices previously introduced in the literature are highlighted. Two numerical examples and a rotating shaft model of an aircraft wing are employed to illustrate the validity and potential benefits of the new sensitivity index.
- Published
- 2016