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dc.contributor.authorTaylor, James G.
dc.contributor.authorYildirim, Ugur Ziya
dc.contributor.authorMurphy, William S. Jr.
dc.date.accessioned2014-01-29T23:39:16Z
dc.date.available2014-01-29T23:39:16Z
dc.date.issued2000
dc.identifier.urihttp://hdl.handle.net/10945/38606
dc.descriptionProceedings of the 2000 Winter Simulation Conference J. A. Joines, R. R. Barton, K. Kang, and P. A. Fishwick, eds.en_US
dc.description.abstractThis paper presents some innovations for overcoming shortcomings in the current state-of-the-art for the hierarchy-of-models approach to modeling aggregatedforce attrition in ground-combat models. The basic concept of such an approach for modeling large-scale system behavior is presented, together with the theoretical underpinnings for modeling attrition in large-scale ground combat. The output of an entity-level discrete-event combat simulation is fit to a Lanchester-type aggregatedreplay model. Use of a reliable statistical-estimation technique for determining model parameters is emphasized. The main innovation is to show how use of more detailed output data (e.g. line-of-sight (LOS) data) from the high-resolution simulation allows one to develop maximum-likelihood estimates. The methodology is applied to a current high-resolution DoD combat model, and a Lanchester-type aggregated-force replay model is developed.en_US
dc.rightsdefined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleHierarchy-of-models Approach for Aggregated-Force Attritionen_US
dc.typeConference Paperen_US
dc.contributor.departmentOperations Research (OR)


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