Abstract
Providing accurate and automated input modeling support is one of the challenging problems in the application of computer simulation. In this paper, we present a general-purpose input-modeling tool for representing, fitting, and generating random variates from multivariate input processes to drive computer simulations. We explain the theory underlying the suggested data fitting and data generation techniques, and demonstrate that our framework fits models accurately to both univariate and multivariate input processes.
Original language | English (US) |
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Pages (from-to) | 275-282 |
Number of pages | 8 |
Journal | Winter Simulation Conference Proceedings |
Volume | 1 |
State | Published - 2001 |
Event | Proceedings of the 2001 Winter Simulation Conference - Arlington, VA, United States Duration: Dec 9 2001 → Dec 12 2001 |
ASJC Scopus subject areas
- Software
- Modeling and Simulation
- Safety, Risk, Reliability and Quality
- Chemical Health and Safety
- Applied Mathematics