My mistake. I gave the right URL but referred to it as SO instead of CV.
Gotta get my nomenclature right!
Bert
> On Feb 10, 2014, at 3:32 PM, David Winsemius wrote:
>
>
>> On Feb 10, 2014, at 6:34 AM, Bert Gunter wrote:
>>
>> I believe this is more a question for SO (stats.stackexchange.com)
On Feb 10, 2014, at 6:34 AM, Bert Gunter wrote:
> I believe this is more a question for SO (stats.stackexchange.com).
Actually it might get closed on SO since it is not an R programming question
per se but rather an advice for statistical approach. It's a better fit for
CrossValidated.com
>
I believe this is more a question for SO (stats.stackexchange.com).
There are many possible goodness of fit statistics that can easily be
calculated in R, but I think the fundamental question is: To what end?
First, there are probably several parametric distributions that give
(essentially) equall
Hi all,
I have a large number of measurements from which I select a large number of
unique vectors. For each vectors I would like to test which distribution might
be a candidate for fitting.
It is impossible to look on each vector separately but I can inside a for loop
test different models and
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