Advanced tutorial: Input uncertainty quantification


“Input uncertainty” refers to the (often unmeasured) effect of not knowing the true, correct distributions of the basic stochastic processes that drive the simulation. These include, for instance, interarrival-time and service-time distributions in queueing models; bed-occupancy distributions in health care models; distributions for the values… (More)


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Citations per Year

Citation Velocity: 9

Averaging 9 citations per year over the last 3 years.

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