compare sample data and generated data

Asked Mar 18 '16 at 20:29

Active Mar 19 '16 at 00:58

Viewed 73 times

We have sample data, we managed to determine the distribution type that it follows (Generalized Extreme Value) and its parameters (K,Sigma,Mu)

And we generated n samples (10000) from the same distribution with the same parameters and in the same range (between 23.1 and 105.64)

pd_gev = makedist('GeneralizedExtremeValue','k',1.2381,'sigma',11.2881,'mu',30.8293);
t = truncate(pd_gev,23.1,105.64);
r = random(t,10000,1);

How to make sure that the generated data follows the given distribution of the sample?

Note:(comparing mu, sigma, mean and standard deviation gives very different numbers)

Thanks in advance

edited Mar 19 '16 at 00:58

Amro

asked Mar 18 '16 at 20:29

user3332603

https://en.wikipedia.org/wiki/Statistical_hypothesis_testing – Amro Mar 18 '16 at 21:01
how can we generate random number using given distribution type and the mean and standard deviation of the sample data?? – user3332603 Mar 19 '16 at 09:26
Try a [q-q plot](https://en.wikipedia.org/wiki/Q–Q_plot). – pjs Mar 19 '16 at 16:14

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