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Greetings, and apologies for cross-posting. 

For those who may be interested in this topic, the following book chapter on
Bayesian sensitivity analysis is now available for downloading at

     www.bath.ac.uk/~masdd 

Draper D, Saltelli A, Tarantola S (1999). Scenario and parametric
sensitivity and uncertainty analyses in nuclear waste disposal risk
assessment: the case of {\sf GESAMAC}. In {\it Mathematical and Statistical
Methods for Sensitivity Analysis\/} (Saltelli A, Chan K, Scott M, eds.), New
York: Wiley (forthcoming). (Shows that variance-based sensitivity analyses
are not fully adequate in determining the factors most responsible for high
radiologic doses arising from the failure of underground storage facilities
for nuclear waste, and that about 30\% of the overall predictive uncertainty
for log dose arises from uncertainty about the scenario describing how the
facility will fail---a source of uncertainty previously largely ignored or
treated qualitatively. Also explores the use of projection pursuit
regression in sensitivity analysis.)

Comments welcome. Best wishes, David Draper

P.S. For those who may be interested in a different topic, two additional
recent chapters on nonstandard issues in sample surveys (the effects of
nonprobability sampling and model assumption errors) are also available for
downloading at the same site (comments welcome on this material too).