How to calculate errors for fit parameters?

AI Thread Summary
To calculate errors for fit parameters using the least squares method, one approach is to vary individual parameters while optimizing others and track the increase in the sum of squares. This method helps in estimating the sensitivity of the fit to changes in parameters. Alternatively, utilizing existing fitting programs can simplify the process, as they typically include built-in functions for error estimation. These programs can provide more accurate and efficient calculations compared to manual methods. Understanding both approaches can enhance the analysis of fit parameters and their associated errors.
Xaron
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I use the least squares method in a small C-programm to fit some data points. But don't know how to get the errors of the calculated parameter.
 
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You can track how the sum of squares increase if you vary individual parameters (and optimize the other parameters). Alternatively, use existing fit programs, they have that implemented.
 

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