parametric estimation of nonlinear regression equation
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Hello
I have a nonlinear regression equation, which contain 12 parameters, and I had known all of the 12 parameters. What I want to do is find a method to estimate parameters accurately. I use nolinfit function in matlab for parametric estimation,however all parameters displays as imaginary number. Although the Prediction ability of those parameters is accepted. Then, I try to convert parametric estimation to a optimization problerm by fsolve, lsqnonlin, fminsearch and ga function. However none of them could give a accurate parametric estimation. Even though I take minor noisy true parameters as initial parameter.(Use true parameters could get accurate parametric estimation ).
The object function is SSE of my Prediction Y and Y.
Anything advise?
Thanks! Sincerely!
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