An Approach to Sensitivity Analysis of Computer Models: Part II - Ranking of Input Variables, Response Surface Validation, Distribution Effect and Technique Synopsis

By R. Iman, Jon C. Helton, James E. Campbell. 1981

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

An evaluation of adaptive surrogate modeling based optimization with two benchmark problems (2014, methodology): “This method was first described by McKay et al. (1979) and further elaborated by Iman et al. (1981) and Hernandez et al. (2012).”
Sensitivity in risk analyses with uncertain numbers. (2006, methodology): “…encountered in risk analysis, the computations for DST and PBA can be faster than a numerically intensive sensitivity analysis with traditional methods (Iman et al. 1980; 1981a,b;; Iman and Conover 1982; Iman and Helton 1988; Morgan and Henrion 1990; Saltelli et al. 2000; Helton and Davis 2000b).”
Vines: A new graphical model for dependent random variables (2002, methodology): “In [5, 20, 22, 2], Markov trees are used to specify distributions used in uncertainty analysis (alternative approaches are found in [11, 10]).”