What is the most flexible distribution type in histfit?
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Hi guys,
So I need to make a plot fit from a histogram using histfit. But I can never get a curve which fits closely to my histogram. I have tried almost all distribution type but none of them give satisfactory result. For instance this is the histogram I want to add the fitting to:

In that picture I used kernel dist type. As can be seen the fitted curve should show 4 peaks but it didn't. Any idea how to solve this?
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José-Luis
2014 年 10 月 9 日
doc ksdensity
Works if fitting is all you care about.
2 件のコメント
José-Luis
2014 年 10 月 9 日
Then I am sorry, but I don't understand what you want to achieve. If you want the curve to look exactly like the histogram, then don't plot the frequencies as a histogram but as a line.
Alternatively, pass the points where you want the density to be evaluate to ksdensity:
a = randn(10000,1);
[f,xi] = ksdensity(a,-5:5);
plot(xi,f,'r-','LineWidth',2);
[f xi] = ksdensity(a,-5:0.1:5)
plot(xi,f,'g-','LineWidth',2);
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