Quote:
Originally Posted by falkao
I found this one here that would be usefully when trying to model single loot values:
Mix Exp Poisson
With this approach every loot value is regarded as a single species independent form all other species. The frequency of one loot value is modeled as an poisson random variable with mean m. The means mi of the different loot values are then modeled by an exponential or mixture of exp distributions. They do the mixture only to achieve a better fit. So there is no interpretation given.
I'm not sure if this approach fits our situation, but for those that like discrete distributions this might be an interesting idea.
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That is very interesting. So if we go by this we should try to divide the below global loot of a certain mob or HP into classes, then check the hypothesis that the classes distribute poisson, and inside every class is distributed exponential. This sounds worthwhile to check for mining too, in this case the classes are quite obvious.