[SciPy-Dev] Subversion scipy.stats irregular problem with source code example
Mon Oct 11 15:24:17 CDT 2010
On Mon, Oct 11, 2010 at 10:10 AM, <firstname.lastname@example.org> wrote:
> typo should be p4
Oops - thank you.
> If I remember correctly, you have observations that are too close to
> the upper boundary.
> If you have an observation at the boundary, the loglikelihood is inf
> I think in these cases you have to keep the boundary of the support
> away from the max and min of the data. Similar in other distributions,
> as I mentioned before.
> If MLE doesn't work for a distribution then a global optimizer
> wouldn't help either. In these cases, usually another estimation
> method is recommended in the literature. For example matching
> quantiles similar to your initial version.
Thank you again.
> Are all distributions that have support in the entire real line working ?
Stopped at beta. I'll pick up with this work again after having read
your discussion above.
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