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I am wondering how, in Matlab, to plot a continuous pdf with the following information?

mean=-0.3731
standard deviation= 5.6190
skewness=-3.0003
kurtosis=13.1722

or alternative how do I plot a continous pdf that is not normal? (like it is skewness and has kurtosis, etc)

Thanks!

user1664484
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1 Answers1

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Those parameters don't define a distribution, but normally you would use "makedist" in matlab to generate a probability distribution object and then plot it.

The following thread has some discussion on defining a distribution. How to generate distributions given, mean, SD, skew and kurtosis in R?

Based on your comment below, I think you are looking for something like the following functio that generates a m by n matrix of random values with the following parameters:

r = pearsrnd(mu,sigma,skew,kurt,m,n)
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Suneth Attygalle
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  • But if I would like to start with a normal distribution with the mean and standard deviation, then transform it to fit the skewness and kurtosis, is that doable? – user1664484 Oct 07 '14 at 22:24
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    @user1664484 I think there are infinitely many solutions for that. A finite number of moments don't determine the distribution – Luis Mendo Oct 07 '14 at 22:48
  • @user1664484 I updated my answer with what seems to be what you are looking for. – Suneth Attygalle Oct 08 '14 at 19:53