How do you fit a gamma distribution?

Hi There
How do you fit a gamma distribution to random data while fixing one of the gamma distribution parameters? Lets say we fix the shaping factor k for example and try to find the scaling factor Thetha of the gamma pdf? How is this done in Matlab?

 Accepted Answer

Expanding on what Wayne wrote, you can supply your fixed-parameter version of the gamma distribution to the mle function. Try this:
x = gamrnd(1.1,100,100,1);
ab = gamfit(x) % fit a and b
b = mle(x,'pdf',@(x,b)gampdf(x,1,b),'start',1) % fix a=1
% compare the empirical distribution and two fits
ecdf(x);
xx = linspace(0,max(x));
line(xx,gamcdf(xx,ab(1),ab(2)),'color','r')
line(xx,gamcdf(xx,1,b),'color','c')

3 Comments

That was the piece I was missing! thanks Tom
Thanks guys, Thanks a lot...this will definately help me...:-)
Hi Tom
I want to fit excel data with gamma in matlab. Would you please help me?

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More Answers (1)

You can use either mle() with the 'Distribution','gamma'
gamfit()
or fitdist() with 'gamma'. All require the Statistics Toolbox.
R = gamrnd(5,2,1e3,1);
gpdf = fitdist(R,'gamma');
[phat,phatci] = gamfit(R);
%same as
[phat,phatci] = mle(R,'Distribution','gamma');
Once you fix one of the parameters, you can create gamma pdfs by varying the other using gampdf and fit that to your data.

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