Using Univariate Bezier Distributions to Model Simulation Input Processes

In this paper we describe a graphical, interactive technique for modeling univariate simulation input processes with a distribution family based on Bezier curves. This family has an open-ended parameterization and is capable of accurately representing an unlimited variety of distributional shapes. O...

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Bibliographic Details
Published inWSC, '93: Winter Simulation Conference Proceedings pp. 365 - 373
Main Authors Flanigan Wagner, M.A., Wilson, J.R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1993
Subjects
Application software
Displays
Large-scale systems
Parameter estimation
Shape control
Software packages
Software systems
Stochastic processes
Testing
Visualization
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ISBN9780780313811
078031381X
DOI10.1109/WSC.1993.718073

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Summary:In this paper we describe a graphical, interactive technique for modeling univariate simulation input processes with a distribution family based on Bezier curves. This family has an open-ended parameterization and is capable of accurately representing an unlimited variety of distributional shapes. Our input-modeling technique is implemented in a self-contained, Windows-based software system called PRIME-PRobabilistic Input Modeling Environment. Several examples illustrate the application of this technique.
ISBN:9780780313811
078031381X
DOI:10.1109/WSC.1993.718073