[SciPy-dev] scipy.stats: sf for symmetric distributions.
Wed Sep 16 16:13:13 CDT 2009
On Wed, Sep 16, 2009 at 3:53 PM, David Warde-Farley <firstname.lastname@example.org> wrote:
> On 16-Sep-09, at 3:17 PM, email@example.com wrote:
>> Did you check for which distributions this would apply?
>> I remember there was some problem that pymvpa had with the r
>> distribution because the numerical integration close to the lower
>> bound didn't work.
> I haven't gone through the list exhaustively but I'm fairly certain it
> will make a positive difference for the t-distribution and the
> standard normal, especially since these are used in statistical tests
> where people care about their p-values.
good, your changes are similar to what Per proposed in
There might be a few more cases like these.
> I just committed a fix for these two distributions, we can weigh the
> worth of subclassing or not further (incidentally, this breaks two
> ttest tests because they differ in the 17th decimal place, how sure
> are you of those hard-coded numbers?).
I got busy and just saw your follow up.
If there is a request for higher than standard precision of
floating point calculationss, then it should be a bug in the
test. I guess, I missed adding decimal if it is in one of
Which ttest test is it?
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