Introduction to modeling and generating probabilistic input processes for simulation | IEEE Conference Publication | IEEE Xplore

Introduction to modeling and generating probabilistic input processes for simulation


Abstract:

Techniques are presented for modeling and generating the univariate probabilistic input processes that drive many simulation experiments. Emphasis is on the generalized b...Show More

Abstract:

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 Bezier 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.
Date of Conference: 07-10 December 2008
Date Added to IEEE Xplore: 30 December 2008
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Conference Location: Miami, FL, USA

References

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