Please use this identifier to cite or link to this item: https://doi.org/10.1002/nav.20046
Title: Design of follow-up experiments for improving model discrimination and parameter estimation
Authors: Ng, S.H. 
Chick, S.E.
Keywords: Design of experiments
Entropy
Model discrimination
Parameter estimation
Simulation
Issue Date: Dec-2004
Source: 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
URI: http://scholarbank.nus.edu.sg/handle/10635/63092
ISSN: 0894069X
DOI: 10.1002/nav.20046
Appears in Collections:Staff Publications

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