Statistical tools for simulation practitioners
Statistical tools for simulation practitioners
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Input modeling: input model uncertainty: why do we care and what should we do about it?
Proceedings of the 35th conference on Winter simulation: driving innovation
Input uncertainty in outout analysis
Proceedings of the Winter Simulation Conference
A quick assessment of input uncertainty
Proceedings of the Winter Simulation Conference
A framework for input uncertainty analysis
Proceedings of the Winter Simulation Conference
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An early stage of a simulation study often consists of collecting data in order to parameterize the model. This paper addresses the question of how much data to collect, and from what sources. We use designed experiments to identify important unknown parameters, taking into account the current level of information about them. We develop approaches based on two common forms of analysis of variance: a fixed effects model, and a random effects model.