How to calculate MSE for Gaussian histogram?

3 次查看（过去 30 天）
studentmatlaber
studentmatlaber 2021-9-22
评论： Image Analyst 2021-9-23
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.mu,df.sigma);
mse = mean((y - hhf(1).YData).^2)
mse = 1.183472134374673e+07

请先登录，再回答此问题。

采纳的回答

Image Analyst
Image Analyst 2021-9-22
I'd probably do it on the original data, not the histogram
meanValue = mean(noise_filt);
mse = mean((noise_filt - meanValue) .^ 2)
  2 个评论
studentmatlaber
studentmatlaber 2021-9-23
Thank you so much. can this approach also be used for weibull distribution?
Image Analyst
Image Analyst 2021-9-23
I don't see why not. The MSE doesn't care what produced the reference and test data.

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Histograms 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by