Multivariate statistical simulation
Multivariate statistical simulation
Modeling input processes with Johnson distributions
WSC '89 Proceedings of the 21st conference on Winter simulation
Graphical interactive simulation input modeling with bivariate Bézier distributions
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on graphics, animation, and visualization for simulation environments
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
Multivariate input modeling with Johnson distributions
WSC '96 Proceedings of the 28th conference on Winter simulation
Modeling dependencies in stochastic simulation inputs
Proceedings of the 29th 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
Numerical Methods for Fitting and Simulating Autoregressive-To-Anything Processes
INFORMS Journal on Computing
An Automated Multiresolution Procedure for Modeling Complex Arrival Processes
INFORMS Journal on Computing
Autoregressive to anything: Time-series input processes for simulation
Operations Research Letters
Lessons identified from data collection for model validation
Proceedings of the 38th conference on Winter simulation
Real world data collection for model validation
Winter Simulation Conference
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Techniques are presented for modeling and generating the univariate and multivariate probabilistic input processes that drive many simulation experiments. Among univariate input models, emphasis is given to the generalized beta distribution family, the Johnson translation system of distributions, and the Bézier distribution family. Among bivariate and higher-dimensional input models, emphasis is given to computationally tractable extensions of univariate Johnson distributions. Also discussed are nonparametric techniques for modeling and simulating time-dependent arrival streams using nonhomogeneous Poisson processes.