Estimation of parameters for a non-linear model
显示 更早的评论
Hi everyone,
I have a model that relates the average reaction time and error rate from an experimental session, with two free parameters, a and b:
ER=1/(1+a*(lnRT)^b )
I'm a bit confused by the multitude of ways to do the estimation of a and b. What's the simplest/reliable way to do it?
Many thanks!
采纳的回答
Jonathan LeSage
2013-10-22
0 个投票
If you're using MATLAB 2011b or newer, you likely have access to the Curve Fitting app. If you have this tool installed, you can open it by typing cftool. This tool allows you to import your data and then define a custom equation to fit. Once you've imported your data, you can select "Custon Equation" from the fit type menu and define you're own equation to fit. The cftool is probably the most straightforward method for fitting nonlinear curves to experimental data. Here is a link to an introduction to the product and an example.
- http://www.mathworks.com/products/curvefitting/
- http://www.mathworks.com/help/curvefit/interactive-curve-and-surface-fitting-.html
Another option is to use the lsqcurvefit function to perform a nonlinear least squares fit of your custom defined equation using your data. Here is an example of this function being used:
Hopefully this helps to get you started!
更多回答（1 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Least Squares 的更多信息
产品
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
