An Approach to Sensitivity Analysis of Computer Models: Part I—Introduction, Input Variable Selection and Preliminary Variable Assessment

By Ronald L. Inman, Jon C. Helson, James E. Campbell. 1981

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

1. Scott Ferson
2. W. Troy Tucker
3. Laura Painton Swiler
4. Jon C. Helton
5. Brian Rutherford
6. Zhike Zi
7. William Oberkampf
8. Didier Dubois

Citations in the corpus

• Sensitivity analysis approaches applied to systems biology models. (2011, methodology): “This method was first developed by McKay Conover in 1979 [50] and later extended by Iman et al. [51].”
• Mapping Transcriptomic Vector Fields of Single Cells (2022, unknown): “We used Latin hypercube sampling technique (Iman et al., 1981) to sample initial points effectively.”
• 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).”