Colleagues:

bird flight altitude probabilities are given by the exponentially modified 
Gaussian distribution EMG f=f(h), in my case

f = (a/2)*exp((a/2)*((a*σ^2)-2*h)) .* erfc((a*σ^2-h)/σ/sqrt(2))

with h=hmeasured-85 in meters, a=1/60m, σ=30m. See: 
<https://en.wikipedia.org/wiki/Exponentially_modified_Gaussian_distribution>.

For bird flight Monte-Carlo simulations, I need random deviates representing 
this distribution.
Normally, I generate the cumulative function F of f. Then, I project uniform 
random numbers U(0,1) on F^-1, the inverse of the cumulative.

With the EMG, closed solutions are not available and I need a numerial 
procedure to generate EMG deviates.
What is the best way to do this?
Best greetings
Heinz
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