MATLAB Gaussian Fitting: Finding Error with MATLAB Output

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The discussion revolves around fitting a Gaussian function to data in MATLAB, resulting in specific coefficients for the model, including a1, b1, and c1, along with their confidence bounds. The goodness of fit metrics indicate a strong model, with an R-square value of 0.9991 and a low RMSE of 4.599. The user seeks to express the result for the coefficient c1 in the format c1±M, where M represents the measurement error. They inquire whether it is possible to derive this error from the provided output, suggesting the use of online calculators for assistance in measurement analysis.
natugnaro
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Hi
I have fitted Gaussian function to some data in matlab.
Now MATLAB gives me this:

General model Gauss1:
f(x) = a1*exp(-((x-b1)/c1)^2)
Coefficients (with 95% confidence bounds):
a1 = 2633 (2628, 2637)
b1 = 1824 (1824, 1824)
c1 = 4.979 (4.97, 4.989)

Goodness of fit:
SSE: 3.694e+004
R-square: 0.9991
Adjusted R-square: 0.9991
RMSE: 4.599

I would like to write my result for c1 like c1\pmM where M is error in measurement,
Since it's been a while I have done any measurement analysis, is it possible to get this error from output above ?
 
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