I am using the command wblrnd(12.34,1.56)
to get 100 different values that lie within the Weibull distribution with those parameters.
But I want those 100 points/values to have the same distribution as the one given by the parameters. Which doesn't happen.
Basically I want, to get 100 values that give me the exact same distribution I had before.
You cannot have the same distribution as the one you're sampling from, unless the number of draws you perform is infinite.
To give you a practical example you can compare how the empirical distribution of your draws, i.e. the histogram, matches the fitted pdf:
subplot(121)
sample = wblrnd(12.34,1.56,100,1);
histfit(sample,100,'wbl')
title('100 draws')
subplot(122)
sample = wblrnd(12.34,1.56,1e5,1);
histfit(sample,100,'wbl')
title('100,000 draws')
Also, note that the mean and standard deviations are NOT the arguments of wblrnd(A,B)
. In other words, mean(sample)
is not supposed to converge to 12.34.
You can check on wikipedia: weibull distribution how to retrieve the mean from the shape and scale parameters, i.e. what theoretical mean is given by 12.34 and 1.56.