[SciPy-dev] scipy.stats: sf for symmetric distributions.
Wed Sep 16 13:50:23 CDT 2009
I just noticed that the way _sf() is implemented in the base class is
particularly horrible for continuous distributions that are symmetric
about the origin, where 1.0 - cdf(x) is prone to roundoff error and
could just as easily be calculated as cdf(-x).
I wonder if this is a common enough case that that there ought to be
an rv_continuous_zerosym class that candidate distributions inherit
from, or if we should just override the method on a case by case basis.
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