Gaussian Mixture pdf plot

12 visualizaciones (últimos 30 días)
freebil
freebil el 18 de Jun. de 2016
Respondida: the cyclist el 12 de En. de 2017
Hello. I have a gaussian with probability 0.2 and (m1,sigma1), another with probability 0.3 and (m2,sigma2) and one with probability 0.5 and (m3,sigma3).
How can I plot this? Thanks.

Respuestas (3)

the cyclist
the cyclist el 18 de Jun. de 2016
Editada: the cyclist el 18 de Jun. de 2016

Here's one way.

pd2 = makedist('Normal','mu',2,'sigma',0.2);
pd3 = makedist('Normal','mu',3,'sigma',0.3);
pd5 = makedist('Normal','mu',5,'sigma',0.5);
x = 0 : 0.001 : 10;
y = 0.2*pdf(pd2,x) + 0.3*pdf(pd3,x) + 0.5*pdf(pd5,x);
figure
plot(x,y)

It requires the Statistics and Machine Learning Toolbox.


the cyclist
the cyclist el 12 de En. de 2017
Here is how the same figure can be made without the Statistics & Machine Learning Toolbox:
mu2 = 2;
mu3 = 3;
mu5 = 5;
sig2 = 0.2;
sig3 = 0.3;
sig5 = 0.5;
n2 = @(x) exp(-(x-mu2).^2/(2*sig2.^2)) ./ (sig2*(2*pi).^0.5);
n3 = @(x) exp(-(x-mu3).^2/(2*sig3.^2)) ./ (sig3*(2*pi).^0.5);
n5 = @(x) exp(-(x-mu5).^2/(2*sig5.^2)) ./ (sig5*(2*pi).^0.5);
x = 0 : 0.001 : 10;
y = 0.2*n2(x) + 0.3*n3(x) + 0.5*n5(x);
figure
plot(x,y)

Amr Hashem
Amr Hashem el 10 de En. de 2017
what I could use instead of "makedist" if i didn't have the toolbox?

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