1. Simulation methodology II
- Author
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Grace Carter, J. W. Schmidt, Michael Stonebraker, Michael A. Crane, William E. Biles, R. E. Taylor, Donald L. Inglehart, and V. Chachra
- Subjects
business.industry ,Computer science ,Face (geometry) ,Artificial intelligence ,Session (computer science) ,business ,Machine learning ,computer.software_genre ,computer ,Confidence interval ,Task (project management) - Abstract
This session focuses on new techniques to assist practitioners of simulation in obtaining desired results efficiently. Many such users are attempting to find optimum performance of a simulated system. In this situation, the problem of selecting a procedure to search for the best choice is a challenging one. Two papers in this session compare alternate strategies for attacking this question. Other users face the task of finding confidence intervals for quantities obtained from simulation experiments. This job is often complicated by statistical dependence of successive observations. The third paper in this session suggests a way around this difficulty by utilizing properties found in many stable stochastic systems.
- Published
- 1973
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