Name
Abstract | ||
|---|---|---|
Techniques are presented for modeling and generating the univariate probabilistic input processes that drive many sim- ulation experiments. Emphasis is on the generalized beta distribution family, the Johnson translation system of distri- butions, and the Bézier distribution family. Also discussed are nonparametric techniques for modeling and simulating time-dependent arrival streams using nonhomogeneous Pois- son 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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/WSC.2009.5429329 | Simulation Conference |
Keywords | Field | DocType |
discrete event simulation,health care,probability,stochastic processes,Bezier distribution family,Johnson translation system,beta distribution family,discrete-event simulation,distributional shapes,healthcare systems analysis,input-modeling technique,medical decision analysis,nonhomogeneous Poisson processes,nonparametric techniques,pharmaceutical manufacturing,probabilistic input processes,public-domain software implementations,semiparametric techniques,smart-materials research,time-dependent arrival streams,univariate probabilistic input processes | Data modeling,Data mining,Mathematical optimization,Simulation,Computer science,Generalized beta distribution,Nonparametric statistics,Probability distribution,Probabilistic logic,Poisson distribution,Univariate,Discrete event simulation | Conference |
ISSN | ISBN | Citations |
0891-7736 | 978-1-4244-5770-0 | 19 |
PageRank | References | Authors |
1.74 | 20 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael E. Kuhl | 1 | 188 | 34.82 |
| Emily K. Lada | 2 | 189 | 20.59 |
| Natalie M. Steiger | 3 | 247 | 23.94 |
| Mary Ann Flanigan Wagner | 4 | 116 | 20.35 |
| James R. Wilson | 5 | 840 | 143.42 |