Abstract
In this paper we present some computationally challenging problems for finding an optimum design in an experiment. We consider the problem of finding an optimum design when one model from a set of possible models would describe the data better than other models in the set but we do not know this model a priori. We also consider the robustness of optimum designs under a model when some observations are unavailable.
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Ghosh, S. (2004). Computational Challenges in Determining an Optimal Design for an Experiment. In: Antoch, J. (eds) COMPSTAT 2004 — Proceedings in Computational Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2656-2_14
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DOI: https://doi.org/10.1007/978-3-7908-2656-2_14
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1554-2
Online ISBN: 978-3-7908-2656-2
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