Get parameters for normal distributions in Kernel fit of probability distribution
Using Kernel to fit a series of normal distributions, how can you read out the means and sigmas of the normals it comes up with? Also, is there a way to set the number of peaks it uses?
Prashant Kumar answered .
2025-11-20
% Plot the Kernal distribution
SixMPG = [13;15;23;29;32;34];
figure;
pdSix = fitdist(SixMPG,'Kernel');
x = 0:.1:45;
ySix = pdf(pdSix,x);
plot(x,ySix,'k-','LineWidth',2);
% Plot each individual normal distribution and scale its appearance on the plot
hold on;
yNormSum = zeros(size(ySix));
for i=1:6
pd = makedist('Normal','mu',SixMPG(i),'sigma',pdSix.BandWidth);
y = pdf(pd,x);
y = y/6;
plot(x,y,'b:');
yNormSum = yNormSum+y;
end
plot(x,yNormSum,'g--','LineWidth',1.5)
hold off
