Simulation run length planning

To design a stochastic simulation experiment, it is helpful to have an estimate of the simulation run lengths required to achieve desired statistical precision. Preliminary estimates of required run lengths can be obtained by approximating the stochastic model of interest by a more elementary Markov model that can be analyzed analytically. When steady-state quantities are to be estimated by sample means, we often can estimate required run lengths by calculating the asymptotic variance and the asymptotic bias of the sample mean in the Markov model.

• Type: Conference
• Year: 1989
• Where: WSC
• Authors: Ward Whitt
• Keywords: Modeling And Simulation, Required Run Lengths, Run Lengths, Simulation Run Lengths, WSC 1989