Comparison of Design Optimality Criteria of Reduced Models for Response Surface Designs in the Hypercube

Abstract

Results from the comparison of D, G, and A efficiencies and the scaled average prediction variance IV criterion are presented for the central composite, small composite, Notz, Hoke, Box–Draper, and computer-generated designs. These design optimality criteria are evaluated over the cuboidal design region for three, four, and five design variables.

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