Abstract
In the paper the problem of optimum experimental design for estimating parameters of multivariate regression functions is considered. We address the question: under what conditions one can compose the optimal design from partial designs, obtained by considering partial regressions, which depend on reduced number of variables. After reinterpreting and reviewing briefly existing results we provide some new conditions.
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Rafajłowicz, E., Myszka, W. When product type experimental design is optimal? Brief survey and new results. Metrika 39, 321–333 (1992). https://doi.org/10.1007/BF02614014
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DOI: https://doi.org/10.1007/BF02614014