Abstract
Three-level factorial designs can be used to perform factor screening and subsequently response surface exploration on its projections in a single stage experiment. Here we select optimal designs for this approach from 18-run and 27-run orthogonal designs. Our choices are based on two types of design criteria. Besides commonly used model estimation criteria, we also consider model discrimination criteria.
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© 2007 Physica-Verlag Heidelberg
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Ye, K.Q., Tsai, KJ., Li, W. (2007). Optimal Orthogonal Three-Level Factorial Designs for Factor Screening and Response Surface Exploration. In: López-Fidalgo, J., Rodríguez-Díaz, J.M., Torsney, B. (eds) mODa 8 - Advances in Model-Oriented Design and Analysis. Contributions to Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1952-6_28
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DOI: https://doi.org/10.1007/978-3-7908-1952-6_28
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-1951-9
Online ISBN: 978-3-7908-1952-6
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