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Blocked Designs for Experiments With Correlated Non-Normal Response

Summary: [This abstract is based on the authors' abstract.] General methods are developed of obtaining efficient blocked designs for experiments with exponential family response described by a model fitted using Generalized Estimating Equations. This methodology is useful when blocking factor is a nuisance variable, a common occurrence in industrial experiments. A D-optimality criterion is developed and applied to an unrestricted algorithmic search and to blocking of an optimal design. The blocked design methodology is demonstrated using an aeronautics industry design.

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  • Topics: Engineering, Statistics
  • Keywords: Blocking, D-optimality, Robust design, Binary response, Generalized estimating equations, Generalized linear model
  • Author: Woods, David C.; Van de Ven, Peter
  • Journal: Technometrics