An uncertainty discrimination paradigm can be used to assess the independent or non-independent processing of two components in a compound stimulus. In certainty conditions, the observer knows in which component the cue to discrimination will appear. In the uncertainty condition, it can appear in either. Previous work purported to derive the performance bounds on d' for detection assuming optimality and independence. The present analysis clarifies the optimality predictions and presents predictions for discrimination performance made by alternative plausible decision models which can serve as a comparison to the predictions of the ideal observer. |