[Scilab-users] errors (uncertainties) in non-linear least-squares fitting parameters

[Heinz Nabielek]

I have successfully fitted straight lines to my avian mortality Monte-Carlo simulation model (function of turbine size and wind speed distributions):

f(x) = pi (x+p4) with p1 for 7, p2 for 6 and p3 for 5 m/s mean wind speed
   p1 =   0.3930457
   p2 =   0.3492537
   p3 =   0.2987269
   p4 =   4.058154 

But, sorry, I do not manage to derive the errors (uncertainties) in the parameters. I know I need the Jacobian, but have been unable to code it in Scilab.

Can you help?
Best greetings
Heinz

BTW, these bird fatalities are far too large when compared to observations: as a next modelling step, I need to introduce avoidance factors.....

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