Regional sensitivity analysis using revised mean and variance ratio functions

Reliability Engineering and System Safety

Volumn 121, Issue , 2014, Pages 121-135

  Wei, Pengfei ^a   Lu, Zhenzhou ^a   Ruan, Wenbin ^a   Song, Jingwen ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Mean ratio function; Regional sensitivity analysis; Variance ratio function; Variance reduction

Indexed keywords

QUALITY ASSURANCE; SAFETY ENGINEERING;

DIFFERENT DISTRIBUTIONS; ISHIGAMI FUNCTIONS; MEAN RATIO; MONTE CARLO PROCEDURES; SAMPLE VARIANCE; SENSITIVITY INDICES; VARIANCE RATIO; VARIANCE REDUCTIONS;

SENSITIVITY ANALYSIS;

EID: 84883754387     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2013.08.001     Document Type: Article

References (22)

1. A Saltelli, S Tarantola, F Camplongo, and M. Ratto Sensitivity analysis in practice: a guide to assessing scientific models 2004 New York: Wiley
2. DM. Hamby A review of techniques for parameter sensitivity analysis of environmental models Environmental Monitoring and Assessment 32 1994 135 154
3. M Ionescu-Bujor, and DG. Cacuci A comparative review of sensitivity and uncertainty analysis of large-scale systems. I: deterministic methods Nuclear Science and Engineering 147 2004 189 203
4. MD. Morris Factorial sampling plans for preliminary computational experiments Technometrics 33 1991 161 174
5. F. Campolongo, J. Cariboni, and A. Saltelli An effective screening design for sensitivity analysis of large models Environmental Modelling & Software 22 2007 1509 1518 (Pubitemid 46561424)
6. E. Borgonovo A new uncertainty importance measure Reliability Engineering and System Safety 92 2007 771 784 (Pubitemid 46135960)
7. IM. Sobol Sensitivity analysis for non-linear mathematical models Mathematical Models and Computer Experiment 1 1993 407 414 (Translated from Russian. Sobol IM. Sensitivity estimates for nonlinear mathematical models. Mathematical Models 1990;2:112-8)
8. T Homma, and A. Saltelli Importance measures in global sensitivity analysis of nonlinear models Reliability Engineering and System Safety 52 1996 1 17 (Pubitemid 126374988)
9. IM. Sobol, and S. Kucherenko Derivative based global sensitivity measures and their link with global sensitivity indices Mathematics and Computers in Simulation 79 2009 3009 3017
10. A. Saltelli Making best use of model evaluations to compute sensitivity indices Computer Physics Communications 145 2002 280 297 (Pubitemid 34524628)
11. IM. Sobol Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates Mathematics and Computers in Simulation 55 2001 271 280 (Pubitemid 32672729)
12. S Tarantola, D Gatelli, and TA. Mara Random balance designs for the estimation of first order global sensitivity indices Reliability Engineering and System Safety 91 2006 717 727
13. A Saltelli, P Annoni, I Azzini, F Campolongo, M Ratto, and S. Tarantola Variance-based sensitivity analysis of model output. Design and estimator for the total sensitivity index Computer Physics Communications 181 2010 259 270
14. C Xu, and GZ. Gertner A general first-order global sensitivity analysis method Reliability Engineering and System Safety 93 2008 1060 1071 (Pubitemid 351305186)
15. M. Ratto, A. Pagno, and P.C. Young Non-parametric estimation of conditional moments for sensitivity analysis Reliability Engineering and System Safety 94 2009 237 243
16. C Xu, and GZ. Gertner Uncertainty and sensitivity analysis for models with correlated parameters Reliability Engineering and System Safety 93 2008 1563 1573 (Pubitemid 351657679)
17. R. Bolado-Lavin, W. Castaings, and S. Tarantola Contribution to the sample mean plot for graphical and numerical sensitivity analysis Reliability Engineering and System Safety 94 2009 1041 1049
18. S Tarantola, V Kopustinskas, R Bolado-Lavin, A Kaliatka, E Uspuras, and M. Vaisnoras Sensitivity analysis using contribution to sample variance plot: Application to a water hammer model Reliability Engineering and System Safety 99 2012 62 73
19. P Wei, Z Lu, D Wu, and C. Zhou Moment-independent regional sensitivity analysis: application to an environmental model Environmental Modelling & Software 47 2013 55 63
20. IM. Sobol Uniformly distributed sequences with additional uniformity properties USSR Computational Mathematics and Mathematical Physics 16 1976 236 242
21. Ishigmi T, Homma T. An importance quantification technique in uncertainty analysts for computer modes. In: Proceedings of the ISUMA'90: first international symposium on uncertainty modeling and analysis, p. 398-403.
22. P Wei, Z Lu, W Hao, J Feng, and B. Wang Efficient sampling methods for global reliability sensitivity analysis Computer Physics Communications 183 2012 1728 1743