[SciPy-User] poisson distribution in scipy.stats
Mon Nov 9 15:25:24 CST 2009
On Mon, Nov 9, 2009 at 15:21, Davide Cittaro
> On Nov 9, 2009, at 10:03 PM, firstname.lastname@example.org wrote:
> Message: 5
> Date: Mon, 9 Nov 2009 15:00:29 -0600
> From: Robert Kern <email@example.com>
> Subject: Re: [SciPy-User] poisson distribution in scipy.stats
> To: SciPy Users List <firstname.lastname@example.org>
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> On Mon, Nov 9, 2009 at 14:58, Davide Cittaro
> <email@example.com> wrote:
> Hi all,
> about the poisson generator... given l (expected) and k (found) I guess that
> the way to get the probability of k I have to do this:
> d = scipy.stats.poisson(l)
> p = pmf(k)
> which I found being the same of
> p = scipy.stats.poisson.pmf(l, k)
> Also correct.
> Although I've just plotted values and they are sligthly different... the
> second version does have only a max value at l, whereas the first has two
> maxima (l and l-1)
I'm sorry. I meant "Wrong."
p = scipy.stats.poisson.pmf(k, l)
> I've here some code in which it is written:
> d = scipy.stats.poisson(l, k)
> That one is completely wrong.
> Ok, I see... It looks like it shifts the pmf of k... but how does it works?
> I mean, how the discrete distribution constructor interprets this kind of
Exactly as the documentation states:
myrv = poisson(mu,loc=0)
- frozen RV object with the same methods but holding the given
shape and location fixed.
"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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