How to calculate MSE for Gaussian histogram?

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I fit the Gaussian distribution with the histfit command. I want to calculate MSE but I have no idea how to do it.
Can this approach be used for MSE calculate?
hhf = histfit(noise_filt)
df = fitdist(noise_filt(:), 'Normal')
y = normpdf(hhf(1).XData,,df.sigma);
mse = mean((y - hhf(1).YData).^2)
mse = 1.183472134374673e+07

Accepted Answer

Image Analyst
Image Analyst on 22 Sep 2021
I'd probably do it on the original data, not the histogram
meanValue = mean(noise_filt);
mse = mean((noise_filt - meanValue) .^ 2)
Image Analyst
Image Analyst on 23 Sep 2021
I don't see why not. The MSE doesn't care what produced the reference and test data.

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