On Fri, Aug 15, 2008 at 17:26, Alan Jackson <[EMAIL PROTECTED]> wrote: > Just a question - I'm gradually working through the distributions for > the documentation marathon and I realised that there is a whole nest > of them named "standard-xxxx". > > For several (e.g., normal) they are just the regular distribution with all the > parameters except size set to "standard" values.
Not quite. Rather the regular distributions are built up from the standard version by transformation. > So my first question is - why? They seem very redundant. At the C level, they sometimes exist because they are components of other distributions that don't need the "x*1.0 + 0.0" waste. At the Python level, they usually exist for backwards compatibility with the libraries I was replacing or because I thought they would be useful for Python-level implementations of some distributions in scipy.stats. > Second question - why is there is a "standard-t" for Student's T-test > (or the distribution associated with it) but no corresponding "t" > distribution. Apathy, to be honest. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
