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We project the design, given in Table 6, to lower dimension by deleting any column.
We shrink augmented simplex-centroid design, given in Table 11, using the shrinkage parameter s = 0.1.
The value of D for shrinkage simplex-centroid design given in Table 3 for quadratic Scheffé's model is 0.2293.
The value of D for simplex-centroid design, given in Table 1, for three component quadratic Scheffé's model is 0.27049.
Error analyses and the parameter design given in the literature are generalized to the case of nonlinear reaction rates.
We first choose simplex-centroid design given in Table 1 and augment it with two replicates at each of the pure blends and with three axial check blends.
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The locally D- and A-optimal designs given in Cheng (1995a) and Atkins and Cheng (1999) belong to this class.
The final designs given in this study have been proven through evaluation to be a promising stream of rail research.
An optimality criterion is introduced for sequencing blocks within a given design and tables of optimal blocking sequences are provided for most of the designs given in Sun et al. (Technometrics 39 (1997) 298).
The designs given in the Table 5 were derived assuming the test statistics are asymptotically normally distributed.
All optimal designs given in the previous sections assume prior knowledge about the parameters to be expected and are optimal only when these parameters are indeed the true parameters (so-called locally optimal designs, Chernoff 1953).
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