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- W2913851995 abstract "The design and analysis of simulation experiments and the analysis of simulated alternatives are critically important tasks when employing combat simulations in support of Army modernization. Effective sensitivity and ranking analyses enable insight to be gained on the marginal contributions of sub-systems to overall operational effectiveness, as well as comparatively assessing competing system alternatives. This paper makes some unifying discoveries related to sensitivity analysis via linear multiple regression, and discusses some empirical findings concerning ranking analysis via score-based, partition-based and consensus-based methods. Finally, an investigation into the combined ranking sensitivity problem is also attempted." @default.
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- W2913851995 date "2018-12-09" @default.
- W2913851995 modified "2023-09-24" @default.
- W2913851995 title "Combat simulation analytics: regression analysis, multiple comparisons and ranking sensitivity" @default.
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- W2913851995 doi "https://doi.org/10.5555/3320516.3320969" @default.
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