121 | -- | 122 | Stefano Tarantola, Andrea Saltelli. SAMO 2001: methodological advances and innovative applications of sensitivity analysis |
123 | -- | 129 | Srikanta Mishra, Neil E. Deeds, Banda S. RamaRao. Application of classification trees in the sensitivity analysis of probabilistic model results |
131 | -- | 137 | Roger M. Cooke, Dorota Kurowicka, Isaac Meilijson. Linearization of local probabilistic sensitivity via sample re-weighting |
139 | -- | 148 | Enrique F. Castillo, Uffe Kjærulff. Sensitivity analysis in Gaussian Bayesian networks using a symbolic-numerical technique |
149 | -- | 159 | Claudio Rocco, José Alí Moreno, Néstor Carrasquero. Robust design using a hybrid-cellular-evolutionary and interval-arithmetic approach: a reliability application |
161 | -- | 174 | Renata J. Romanowicz, Peter C. Young. Data assimilation and uncertainty analysis of environmental assessment problems - an application of Stochastic Transfer Function and Generalised Likelihood Uncertainty Estimation techniques |
175 | -- | 185 | Emanuele Borgonovo, George E. Apostolakis, Stefano Tarantola, Andrea Saltelli. Comparison of global sensitivity analysis techniques and importance measures in PSA |
187 | -- | 193 | Ilya M. Sobol. Theorems and examples on high dimensional model representation |
195 | -- | 204 | Allan Hedin. Probabilistic dose calculations and sensitivity analyses using analytic models |
205 | -- | 218 | A. Francos, Francisco Javier Elorza, Fayçal Bouraoui, Giovanni Bidoglio, Lorenzo Galbiati. Sensitivity analysis of distributed environmental simulation models: understanding the model behaviour in hydrological studies at the catchment scale |
219 | -- | 224 | Joshua Matthew Whitcombe, Roger Allan Cropp, Roger D. Braddock, Igor E. Agranovski. Application of sensitivity analysis to oil refinery emissions |
225 | -- | 228 | Roger D. Braddock. Sensitivity analysis of the tsunami warning potential |
229 | -- | 238 | Marzio Marseguerra, Riccardo Masini, Enrico Zio, Giacomo Cojazzi. Variance decomposition-based sensitivity analysis via neural networks |
239 | -- | 244 | Roberto Pastres, Stefano Ciavatta, Gianpiero Cossarini, Cosimo Solidoro. Sensitivity analysis as a tool for the implementation of a water quality regulation based on the Maximum Permissible Loads policy |
245 | -- | 252 | Hiroyuki Okano, Masato Koda. An optimization algorithm based on stochastic sensitivity analysis for noisy objective landscapes |
253 | -- | 262 | Alfonso Mateos, Antonio Jiménez, Sixto Ríos-Insua. Solving dominance and potential optimality in imprecise multi-attribute additive problems |