[Scilab-users] evaluate error on each parameter calculated with leastsq

[Antoine Monmayrant]

On 02/19/2014 08:55 PM, Samuel Gougeon wrote:
> Le 19/02/2014 17:32, Claus Futtrup a écrit :
>> Hi Yohan
>>
>> I see that I'm not alone wondering a bit about what you'd like to do.
>>
>> A mathematically solid and readily available technique to corner 
>> mathematical rounding errors and other errors of operation is called 
>> Interval Analysis.
>>
>> For matlab there's INTLAB. See:
>> http://www.ti3.tu-harburg.de/~rump/intlab/
>>
>> I'm sure it could be converted to Scilab without big trouble. Maybe I 
>> even have an old one laying around (??) somewhere ... maybe.
> Yes indeed, here : http://www-sop.inria.fr/coprin/logiciels/Int4Sci/

The thing is I don't see how to use these tools to do what Yoahn wants 
to do.
I think I have the same kind of issues than Yoahn (I've done a fit, how 
good is it as compare to another one, and what kind of "confidence" or 
"error bar" should I associate to each parameter).
Could you tell us how we can use interval analysis to adress this (just 
curious, it's a bit far from my field of expertise)?

Cheers,

Antoine