Sensitivity analysis by design of experiments

Experimental design is offered as an empirical method of sensitivity analysis. In particular, the use of uncontrollable factors and second-order effect estimates are suggested to ensure robustness of the system to parametric uncertainty. An augmentation to Yates' (1937) algorithm for 3/sup k/ f...

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Bibliographic Details
Published inProceedings of the 1995 International Symposium and Workshop on Systems Engineering of Computer-Based Systems pp. 58 - 65
Main Authors Van Voorhees, F.D., Bahill, A.T.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1995
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Summary:Experimental design is offered as an empirical method of sensitivity analysis. In particular, the use of uncontrollable factors and second-order effect estimates are suggested to ensure robustness of the system to parametric uncertainty. An augmentation to Yates' (1937) algorithm for 3/sup k/ factorial designs is described.
ISBN:0780325311
9780780325319
DOI:10.1109/ECBS.1995.521841