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|Title:||Design of follow-up experiments for improving model discrimination and parameter estimation|
|Authors:||Ng, S.H. |
|Keywords:||Design of experiments|
|Citation:||Ng, S.H., Chick, S.E. (2004-12). Design of follow-up experiments for improving model discrimination and parameter estimation. Naval Research Logistics 51 (8) : 1129-1148. ScholarBank@NUS Repository. https://doi.org/10.1002/nav.20046|
|Abstract:||One goal of experimentation is to identify which design parameters most significantly influence the mean performance of a system. Another goal is to obtain good parameter estimates for a response model that quantifies how the mean performance depends on influential parameters. Most experimental design techniques focus on one goal at a time. This paper proposes a new entropy-based design criterion for follow-up experiments that jointly identifies the important parameters and reduces the variance of parameter estimates. We simplify computations for the normal linear model by identifying an approximation that leads to a closed form solution. The criterion is applied to an example from the experimental design literature, to a known model and to a critical care facility simulation experiment. © 2004 Wiley Periodicals, Inc.|
|Source Title:||Naval Research Logistics|
|Appears in Collections:||Staff Publications|
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