Abstract
In this paper the authors put forward a new mixtures regression models with Logarithmic terms[14] to generalize Draper's models[1, 2 or 6] by using Kiefer-Wolfowitz's equivalence theorem[3], Fedorov's and Wynn's method[5]. And we also suggest a method for computer-aided design of combinatorial search[13].
In this study, we have proved and constructed the approximateD-optimal (measure) andD n -optimal (exact) designs by the use of the first and second order mixtures regression models with logarithmic terms in three and four components.
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Projects Supported by the Science Fund of the Chinese Academy of Sciences.
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Zhu, W., Hu, C. & Chen, H. D-optimality andD n -optimal designs for mixtures regression models with logarithmic terms. Acta Mathematicae Applicatae Sinica 3, 26–36 (1987). https://doi.org/10.1007/BF02112642
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DOI: https://doi.org/10.1007/BF02112642