using least square fit to find the best fit parameters

2 views (last 30 days)
I have 3 variables y, x1, and x2 stored in vector form. I know that y=f(x1,x2) and has the form y = a*b*x1/(1+b*x1+c*x2) + d*x1. a,b,c, and d are parameters. How can I use lsqnonlin to find a,b,c,d?
Thank you
Rik on 26 Feb 2020
You could try with a different fitting function or with different initial guesses. Those two will only help if your function properly describes the trend in your data and if your data isn't noisy in the first place.

Sign in to comment.

Answers (1)

Alex Sha
Alex Sha on 26 Feb 2020
Hi, Annie, upload your data file please, if possible.


Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by