Evaluate a distribution programmatically

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ryan muddiman - 2022-04-14T11:37:00+00:00
Question: Evaluate a distribution programmatically

In the distribution fitter app there is an option to evaluate a fitted distribution for a range of values. I would like to know how to do this programmatically? I can use fitdist to fit the data easily but dont know how to evaluate the probability.

Expert Answer

Profile picture of Kshitij Singh Kshitij Singh answered . 2025-11-20

The fitdist  function will fit a distribution to data, producing a probability distribution object:

 

pd = fitdist(x,distname)

You can then calculate the probabilities with it using the Plot Standard Normal Distribution cdf or Pl

ot the pdf of a Standard Normal Distribution functions:

data = 5 + 2*randn(1, 100);                         % Create Data
pd = fitdist(data(:), 'Normal');

x = linspace(-2, 12);
Npdf = pdf(pd, x);
Ncdf = cdf(pd, x);

figure
plot(x, Npdf,   x, Ncdf)
grid

 


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