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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Published in | Proceedings of the 1995 International Symposium and Workshop on Systems Engineering of Computer-Based Systems pp. 58 - 65 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
1995
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Subjects | |
Online Access | Get full text |
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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. |
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ISBN: | 0780325311 9780780325319 |
DOI: | 10.1109/ECBS.1995.521841 |