MATLAB: How to generate skewed normal random numbers

normal distributionrandomrandom number generatorskewedskewed normal distribution

I would like to generate a random numbers from skewed normal distribution. I know the mean value and the minimum and maximum of the range. I want generate random numbers in that range in a way like a skewed normal distribution with given mean value.

Is it possible in matlab? It is not trivial for me to write such a function.

Best Answer

I think you are looking for pearsrnd. Read about it.

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MATLAB: How am I to generate random numbers with exponential distribution applied

pd = makedist('Exponential','mu', 0.2);
r=0.5+random(pd)

but this gives you values with 0.5 + a random number if you want just the numbers that are bigger than 0.5 do this:

pd = makedist('Exponential','mu', 0.2);
r=0;
while r<0.5
r=random(pd);
end

MATLAB: How to generate random number from cumulative distribution function (CDF) in Matlab

For the more general case of an arbitrary CDF , you have to use inverse transform sampling. Attached is an example for generating a Rayleigh transform.

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MATLAB: How am I to generate random numbers with exponential distribution applied

MATLAB: How to generate random number from cumulative distribution function (CDF) in Matlab

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