Simulating medical decision trees with random variable parameters
WSC '92 Proceedings of the 24th conference on Winter simulation
Monte Carlo estimation for guaranteed-coverage nonnormal tolerance intervals
WSC '93 Proceedings of the 25th conference on Winter simulation
Simulation modeling and analysis with INSIGHT (tutorial session): a tutorial
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Alternative approaches for specifying input distributions and processes (panel session)
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Using discrete event simulation to evaluate housestaff work schedules
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Introduction to modeling and generating probabilistic input processes for simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Introduction to modeling and generating probabilistic input processes for simulation
Proceedings of the 38th conference on Winter simulation
Introduction to modeling and generating probabilistic input processes for simulation
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Introduction to modeling and generating probabilistic input processes for simulation
Proceedings of the 40th Conference on Winter Simulation
Introduction to modeling and generating probabilistic input processes for simulation
Winter Simulation Conference
Introduction to simulation input modeling
Proceedings of the Winter Simulation Conference
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This paper provides an introduction to the Johnson translation system of probability distributions, and it describes methods for using the Johnson system to model input processes in simulation experiments. For situations in which little or no sample information is available, we have developed a visual interactive method to estimate bounded Johnson distributions subjectively; and we have implemented this technique in VESIFIT, a public-domain software package. For fitting all types of Johnson distributions based on sample data, we have implemented several new statistical-estimation methods as well as some standard techniques in FITTR1, another public-domain software package. We present several examples illustrating the use of VISIFIT and FITTR1 for simulation input modeling.