Dear community. I've just started using the Apache Commons Math library. In regards to generating random data from probability distributions, the library doesn't support generating random data using the inverse cdf method although a lot of the distributions gives the possibility to calculate the inverse cdf.
Are there any particular good reason for this? If not, I would create a public interface DistributionWithInverseCumulativeProbability (who has a better name?) with the method inverseCumulativeProbability (right now it's on ContinuousDistribution and some other subclasses and don't seem to be gathered in an interface) and all the distributions with the inverseCumulativeProbability-method should implement this interface. With this small change, a new class called RandomDistributionWithInverseCumulativeProbability (again, who has a better name?) could simply use the uniform generator and a class implementing DistributionWithInverseCumulativeProbability to generate random data from that distribution. What do you think about that idea? I look forward to comments, suggestions, and preferably, better names :-). Cheers, Mikkel Meyer Andersen. --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
