On Thu, Aug 24, 2017 at 12:57 PM, wrote:
>
>
> On Thu, Aug 24, 2017 at 10:56 AM, Renato Fabbri
> wrote:
>
>> On Thu, Aug 24, 2017 at 11:47 AM, Nathan Goldbaum
>> wrote:
>>
>>> The latest version of numpy is 1.13.
>>>
>>> In this case, as described in the docs, a power function distribution is
>
On Thu, Aug 24, 2017 at 7:56 AM, Renato Fabbri
wrote:
>
> On Thu, Aug 24, 2017 at 11:47 AM, Nathan Goldbaum
wrote:
>>
>> The latest version of numpy is 1.13.
>>
>> In this case, as described in the docs, a power function distribution is
one with a probability desnity function of the form ax^(a-1)
On Thu, Aug 24, 2017 at 10:56 AM, Renato Fabbri
wrote:
> On Thu, Aug 24, 2017 at 11:47 AM, Nathan Goldbaum
> wrote:
>
>> The latest version of numpy is 1.13.
>>
>> In this case, as described in the docs, a power function distribution is
>> one with a probability desnity function of the form ax^(
On Thu, Aug 24, 2017 at 11:47 AM, Nathan Goldbaum
wrote:
> The latest version of numpy is 1.13.
>
> In this case, as described in the docs, a power function distribution is
> one with a probability desnity function of the form ax^(a-1) for x between
> 0 and 1.
>
ok, let's try ourselves to relate
The latest version of numpy is 1.13.
In this case, as described in the docs, a power function distribution is
one with a probability desnity function of the form ax^(a-1) for x between
0 and 1.
On Thu, Aug 24, 2017 at 9:41 AM, Renato Fabbri
wrote:
> Thanks for the reply.
>
> But the question re
Thanks for the reply.
But the question remains:
how are the terms "power function distribution"
and "power-law distribution" related?
The documentation link you sent have no information on this.
(
And seems the same as I get here
In [6]: n.version.full_version
Out[6]: '1.11.0'
)
On Thu, Aug 24,
to, 2017-08-24 kello 10:53 -0300, Renato Fabbri kirjoitti:
> numpy.random.power.__doc__
>
> uses only the term "power function distribution".
The documentation in the most recent Numpy version seems to be more
explicit, see the Notes section for the PDF:
https://docs.scipy.org/doc/numpy/referenc
numpy.random.power.__doc__
uses only the term "power function distribution".
I cannot find a comparison between this term and
"power-law distribution" and am quite interested to know
if they are simply synonyms.
Any ideas?
BTW. how is this list related to numpy-discuss...@scipy.org?
--
Renat
