== Neural Market Trends ==

LinkedIn Monte Carlo Discussion

I recently started joined the Monte Carlo Simulation, Excel and ModelRisk LinkedIn Group and found a very interesting discussion thread on the type of probability functions people use for there daily Monte Carlo modeling.  Since I use RiskAMP, an Excel based Monte Carlo simulator, I found this thread very interesting indeed.

Here's an answer from Lan Ge, scientific researcher at WUR:

I used to analyze risks related to animal epidemics and used distributions like: Beta, Binomial, Exponential, Erlang, Gamma, Normal, Lognormal, Pert, Poisson (of course!), Student, Weibull, Uniform (Discreet Uniform)..right now I am analyzing a broader range of risks (production, investment, planning), I notice that I am using more and more normal, lognormal, Pert, triangle, and student.

What I use in my modeling is Normal, Poisson, Pert, Lognormal, and Binomial a lot.  What do you use?

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