[SciPy-dev] stats.distributions.poisson loc parameter : is it wise ?
Thu Aug 6 17:21:49 CDT 2009
On Thu, Aug 6, 2009 at 17:02, Pierre GM<email@example.com> wrote:
> On Aug 6, 2009, at 5:49 PM, Robert Kern wrote:
>> On Thu, Aug 6, 2009 at 16:43, Pierre GM<firstname.lastname@example.org> wrote:
>>> Even if
>>> the scale is simply discarded already, using a location will probably
>>> NOT give the expected result
>> It depends on what your expectations are. For the discrete
>> distributions, all the loc parameter means is this, as documented:
>> pmf(x; loc) -> pmf(x-loc)
>> That's it. I don't know why you would expect anything else.
> Because using a location parameter, you change the support domain.
It should be noted that the location parameter changes the support
domain *as a consequence* of the above transformation. Changing the
support domain (and holding everything else fixed) is not the defining
characteristic of the location parameter.
"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
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