Abstract
Exact designs of experiments are frequently sought that are optimal at producing predictive response-surface models. Until recently, however, there have not been any software systems capable of finding such designs on continuous spaces, except for very specific models. We present the algorithmic and implementation details of our software program, I-OPTTM [1], for finding exact, continuous-space designs that minimize the integrated expected variance of prediction over the region of interest (sometimes known as either the I- or IV-optimality criterion) for general quantic models.
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© 1992 Physica-Verlag Heidelberg
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Crary, S.B., Hoo, L., Tennenhouse, M. (1992). I-Optimality Algorithm and Implementation. In: Dodge, Y., Whittaker, J. (eds) Computational Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-48678-4_24
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DOI: https://doi.org/10.1007/978-3-642-48678-4_24
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-642-48680-7
Online ISBN: 978-3-642-48678-4
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