On Wed, 06 Aug 2008 21:09:30 -0700, Dan Bishop wrote: >> There's no general way to create a random function for an arbitrary >> distribution. I don't think there's a general way to *describe* an >> arbitrary random distribution. > > What about the quantile function?
Well, sure, if you can write down the quantile function, c.d.f or p.d.f. of a distribution, I suppose that counts as describing it, in some sense. But even if we limit ourselves to distributions which are actually useful, as opposed to arbitrary distributions that can't be described in terms of any known mathematical function, there are serious practical difficulties. I quote from the Wikipedia article on quantile functions: "The quantile functions of even the common distributions are relatively poorly understood beyond the use of simple lookup tables, which is at odds with their importance in Monte Carlo sampling, where a sample from a given distribution may be obtained in principle by applying its quantile function to a sample from a uniform distribution. The exponential case above is one of the very few distributions where there is a simple formula." http://en.wikipedia.org/wiki/Quantile_function -- Steven -- http://mail.python.org/mailman/listinfo/python-list
