Optimal discrimination designs

  • Dette H
  • Titoff S
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Abstract

In this paper efficient designs are determined when Anderson's proce- dure 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

Author-supplied keywords

  • Ds -optimality
  • Model discrimination
  • Nonlinear approximation
  • Optimal design
  • T-optimality

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Authors

  • Holger Dette

  • Stefanie Titoff

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