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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Creasey, R.R. White, K.P. Marks, M.B. Waller, B.D. |
| Copyright Year | 2005 |
| Description | Author affiliation: Coll. of Bus. & Econ., Longwood Univ., Farmville, VA (Creasey, R.R.) |
| Abstract | This paper describes on-going research, where we compare, via simulation experiments, a stochastic system to a standard. We are particularly interested in a subset of standards we call limit standards. A limit standard is a maximum or minimum benchmark derived from requirements, another model, or the actual system. The problem is to determine if a system meets the limit standard at customer-defined probabilities. Then, for those systems that meet the limit standard, identify which system is the "best," or results in the lowest probability of reaching the standard. Current comparison methods are based on expected value and cannot solve this type of problem. We outline a two-step approach, using methods from acceptance sampling and ordered statistics, to solve this problem |
| File Size | 288527 |
| File Format | |
| ISBN | 0780395190 |
| DOI | 10.1109/WSC.2005.1574313 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Probability Sampling methods Statistics Space vehicles Educational institutions Stochastic systems Standards development Random variables Resource management Capacity planning |
| Content Type | Text |
| Resource Type | Article |
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