On Mon, 4 Aug 2008, Stephan Neuhaus wrote: > Or better still, make many tests and see if your p-values are > uniformly distributed in (0,1). [Hint: decide on a p-value for that > last equidistribution test *before* you compute that p-value.]
Of course, there are many tests for goodness of fit (Kolmogorov- Smirnov, chi-square, etc.) and also you can calculate for a given number of tests how many tests should have p-value below the significance level. And after making hundred tests you ask yourself what you gonna do once your test gives "good uniformity", say p-value is 0.23, but the proportion is 0.95, while the minimum pass rate for 1% is 0.96. Only a bad statistician cannot justify any predefined answer :-) -- Regards, ASK --------------------------------------------------------------------- The Cryptography Mailing List Unsubscribe by sending "unsubscribe cryptography" to [EMAIL PROTECTED]
