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Robustness measures for Bayes linear analyses |
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| Authors: | Michael Goldstein and David A Wooff |
| Institution: | Department of Mathematical Sciences, University of Durham, South Road, Durham, DH1 3LE, UK |
| Abstract: | We consider the role of global robustness measures in Bayes linear analysis. We suggest two such measures, one for expectation comparisons and one for variance comparisons. Geometric interpretations of the measures are presented. The approach is illustrated by considering the robustness of certain multiplicative models to assumptions of independence, with particular application to a problem arising in an asset management model for water resources. |
| Keywords: | Bayes linear analysis robustness belief comparisons sensitivity map multiplicative models assessing independence assumptions bearing diagnostics asset management plan |
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