Modeling input processes with Johnson distributions
WSC '89 Proceedings of the 21st conference on Winter simulation
Organ transplantation policy evaluation
WSC '95 Proceedings of the 27th conference on Winter simulation
Recent developments in input modeling with Bézier distributions
WSC '96 Proceedings of the 28th conference on Winter simulation
Estimating and simulating Poisson processes with trends or asymmetric cyclic effects
Proceedings of the 29th conference on Winter simulation
Steps to implement Bayesian input distribution selection
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Introduction to modeling and generating probabilistic input processes for simulation
Proceedings of the 38th conference on Winter simulation
An Automated Multiresolution Procedure for Modeling Complex Arrival Processes
INFORMS Journal on Computing
Clinic: correlated inputs in an automotive paint shop fire risk simulation
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Winter Simulation Conference
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Techniques are presented for modeling and generating the univariate probabilistic input processes that drive many simulation experiments. Emphasis is on the generalized beta distribution family, the Johnson translation system of distributions, and the Bézier distribution family. Also discussed are nonparametric techniques for modeling and simulating time-dependent arrival streams using nonhomogeneous Poisson processes. Public-domain software implementations and current applications are presented for each input-modeling technique. Many of the references include live hyperlinks providing online access to the referenced material.