Phil Steitz wrote: > 1. Either remove or implement the "not implemented yet" distribution > persistence methods. I am ambivalent on these, maybe just supporting > serialization is enough.
The question is if it happens very often that we obtain data in the form of the EDF. This might be the case if data are pre-processed using different application (or experimental equipment)... I'm thinking about the best form in which EmpiricalDistribution can be saved, maybe saving pairs observed_value_i = probability_i would do the job? > 3. Develop some sort of rationale for the test tolerances. This is an > interesting mathstat problem. I would ideally like to use statistical > tests (like elsewhere in the random package), but it is not obvious what > the right test or test parameters should be. As long as we test means or variances we can use t test or some variance equality test (Levene test). However we need to choose significane level anyway, so still there is a arbitrary number (like "tolerance" we have now), on the other hand this number have clear interpretation. Piotr --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
