[Numpy-discussion] Numpy fitting

josef.pktd@gmai... josef.pktd@gmai...
Thu Mar 1 11:30:18 CST 2012


On Thu, Mar 1, 2012 at 10:39 AM, Olivier Delalleau <shish@keba.be> wrote:
> Sorry I can't help, but I'd just suggest to post this on the scipy mailing
> list as you may get more replies there.
>
> -=- Olivier
>
> Le 1 mars 2012 10:24, Pierre Barthelemy <barthpi@gmail.com> a écrit :
>>
>> Dear all,
>>
>> i am writing a program for data analysis. One of the functions of this
>> program gives the possibility to fit the functions. I followed the recipe
>> described in : hMailScanner soupçonne le lien suivant d'être une tentative
>> de fraude de la part de "www.scipy.org"
>> ttp://www.scipy.org/Cookbook/FittingData under the section "Simplifying the
>> syntax".

http://translate.google.com/#auto|en|MailScanner%20soup%C3%A7onne%20le%20lien%20suivant%20d'%C3%AAtre%20une%20tentative%20de%20fraude%20de%20la%20part%20de%20%22www.scipy.org%22

:)
Josef

>>
>> To fit, i use the function:
>>
>> out=optimize.leastsq(f, p, full_output=1)
>>
>> where f is my function and p a list of parameters.
>>
>> One thing that i would like to know is how can i get the error on the
>> parameters ? From what i understood from the "Cookbook" page, and from the
>> scipy manual
>> (http://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.leastsq.html#scipy.optimize.leastsq),
>> the second argument returned by the leastsq function gives access to these
>> errors.
>> std_error=std(y-function(x))
>> param_error=sqrt(diagonal(out[1])*std_error)
>>
>> The param_errors that i get in this case are extremely small. Much smaller
>> than what i expected, and much smaller than what i can get fitting the
>> function with matlab. So i guess i made an error here.
>>
>> Can someone tell me how i should do to retrieve the parameter errors ?
>>
>> Bests,
>>
>> Pierre
>>
>> PS: i got the impression something went wrong with my previous message,
>> sorry for that.
>>
>>
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>
>
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