Hi everybody
is there any way to use, in a Vensim model, a variable that simulates a truncated lognormal? I know how I can simulate a "full" lognormal through a normal distribution but what about the insertion of a maximum positive value? How can I rescale so that the area under the truncated disribution is still equal to 1?
All the best, thanks in advance for any suggestion.
Lorenzo
The RANDOM NORMAL function generates a truncated Normal distribution, so if you transform that you'll get a truncated Lognormal. You could do something like:
tomfid wrote: ↑Sat Oct 17, 2020 2:03 pm
The RANDOM NORMAL function generates a truncated Normal distribution, so if you transform that you'll get a truncated Lognormal. You could do something like:
Hi tomfid
could you be more clear about this: "the maximum departure in terms of number of geometric std dev above the mean"?
Indeed I have to generate a lognormal whose normal parameters are μ = −13.3 and σ = 3.49 truncated on the interval [0, 2.35 × 10−3]).
Lorenzo