The Annals of Statistics
- Ann. Statist.
- Volume 25, Number 3 (1997), 1161-1175.
Optimal discrimination designs for multifactor experiments
In this paper efficient designs are determined when Anderson's procedure is applied in order to identify the degree of a multivariate polynomial regression model. It is shown that the optimal designs are very closely related to model robust designs which maximize a weighted p-mean of D-efficiencies. As a consequence we obtain designs with high efficiency for model discrimination and for the statistical analysis in the identified model.
Ann. Statist., Volume 25, Number 3 (1997), 1161-1175.
First available in Project Euclid: 20 November 2003
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Dette, Holger; Röder, Ingo. Optimal discrimination designs for multifactor experiments. Ann. Statist. 25 (1997), no. 3, 1161--1175. doi:10.1214/aos/1069362742. https://projecteuclid.org/euclid.aos/1069362742