using least square fit to find the best fit parameters

2 次查看(过去 30 天)
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
  5 个评论
Rik
Rik 2020-2-26
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.

请先登录,再进行评论。

回答(1 个)

Alex Sha
Alex Sha 2020-2-26
Hi, Annie, upload your data file please, if possible.

类别

Help CenterFile Exchange 中查找有关 Descriptive Statistics 的更多信息

标签

Community Treasure Hunt

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

Start Hunting!

Translated by