| Article ID: | iaor2004872 |
| Country: | Netherlands |
| Volume: | 35 |
| Issue: | 13 |
| Start Page Number: | 1483 |
| End Page Number: | 1488 |
| Publication Date: | Jun 2002 |
| Journal: | Mathematical and Computer Modelling |
| Authors: | Meaux L.M., Seaman J.W., Jr, Young D.M. |
Potter and Anderson have developed a Bayesian decision procedure requiring the specification of a class of prior distributions restricted to have a minimal probability content for a given subset of the parameter space. They do not, however, provide a method for the selection of that subset. We show how a generalization of Gauss' inequality can be used to determine the relevant parameter subset.