A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Fitting “standard” distributions to data is necessarily good: Dogma or myth?
WSC '81 Proceedings of the 13th conference on Winter simulation - Volume 1
Sensitivity of output performance measures to input distributions in queueing simulation modeling
Proceedings of the 29th conference on Winter simulation
Designing computer simulation experiments
WSC '88 Proceedings of the 20th conference on Winter simulation
Statistical design and analysis
WSC '86 Proceedings of the 18th conference on Winter simulation
ANSS '86 Proceedings of the 19th annual symposium on Simulation
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This paper reviews perspectives and methods for specifying distribution and process forms and parameters from which observations are drawn to drive a stochastic simulation. All phases of input data analysis are covered, including data collection, choosing a modeling distribution, estimating parameters, and goodness-of-fit testing. A discussion is also presented concerning the debate over the desirability of fitting “standard” distributions to data as opposed to using a direct empirical distribution. Available software packages with a simulation orientation are also described.