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WSC
1998

Input Modeling Tools for Complex Problems

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Input Modeling Tools for Complex Problems
A simulation model is composed of inputs and logic; the inputs represent the uncertainty or randomness in the system, while the logic determines how the system reacts to the uncertain elements. Simple input models, consisting of independent and identically distributed sequences of random variates from standard probability distributions, are included in every commercial simulation language. Software to fit these distributions to data is also available. In this tutorial we describe input models that are useful when the input modeling problem is more complex.
Barry L. Nelson, Michael Yamnitsky
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1998
Where WSC
Authors Barry L. Nelson, Michael Yamnitsky
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