In geostatistical context it is common practice that for simulations of a variable of interest (e.g., grade of concentrations of metal in rock samples) the **number of simulations** at least needs to be **30**. I would ask what *the criteria* is to choose a right trial number considering that each trial has an expense of large computation.

Is that criteria generic enough to be applied on all simulations?

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#### Best Answer

If you're using the simulations to try to estimate something, then you'd seek a sufficient number of replicates to achieve the desired precision. It's hard to see how one could make any general statement about the minimal number. It depends on the variation among replicates. There are cases where 5 might be sufficient, and others where 100,000 are necessary.

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