Abstract
E-optmal designs for the full mean parameter vector, and for many subsets in univariate polynomial regression models are determined. The derivation is based on the interplay between E-optimality and scalar optimality. The scalar parameter systems are obtained as transformations of the coefficient vector c of the Chebyshev polynomial.
Citation
Friedrich Pukelsheim. William J. Studden. "E-Optimal Designs for Polynomial Regression." Ann. Statist. 21 (1) 402 - 415, March, 1993. https://doi.org/10.1214/aos/1176349033
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