[SciPy-User] poisson distribution in scipy.stats

[Davide Cittaro]

On Nov 9, 2009, at 10:03 PM, scipy-user-request at scipy.org wrote:

> Message: 5
> Date: Mon, 9 Nov 2009 15:00:29 -0600
> From: Robert Kern <robert.kern at gmail.com>
> Subject: Re: [SciPy-User] poisson distribution in scipy.stats
> To: SciPy Users List <scipy-user at scipy.org>
> Message-ID:
> 	<3d375d730911091300h6d9b4df6u4be1e6ae0811b12 at mail.gmail.com>
> Content-Type: text/plain; charset=UTF-8
>
> On Mon, Nov 9, 2009 at 14:58, Davide Cittaro
> <davide.cittaro at ifom-ieo-campus.it> 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)
>
> Correct.
>
>> 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'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 declaration?

d


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