Hi federico,
To obtain p-values for the coefficients from a fitting process in MATLAB, you should use the "fitnlm" function from the Statistics and Machine Learning Toolbox instead of the "fit" function from the Curve Fitting Toolbox. The "fitnlm" function fits non-linear models and provides detailed statistical analysis, including p-values for the model coefficients, which help assess their statistical significance. Here's a brief guide on how to adjust your code:
- Define your model function directly in the code.
- Use "fitnlm" with your data, model function, and initial parameter guesses to fit the non-linear model.
- Extract coefficient estimates and their p-values from the fitted model object for analysis.
- Use MATLAB's plotting functions to visualize the fit and residuals as needed.
Hope this helps.
