Article ID Journal Published Year Pages File Type
1148899 Journal of Statistical Planning and Inference 2014 8 Pages PDF
Abstract

Exact experimental designs are presented that minimize the maximum variance of the best linear unbiased estimator of a quadratic regression function on an interval. The main result confirms a conjecture of Constantine, Lim and Studden, which is based on earlier computations of Gaffke and Krafft (Constantine et al. [1987. Admissible and optimal exact designs for polynomial regression. J. Statist. Plann. Inference 16, 15–32], Gaffke and Krafft [1982. Exact D-optimum designs for quadratic regression. J. Roy. Statist. Soc. Ser. B 44, 394–397]).

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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