Journal of the Italian Statistical Society

, Volume 1, Issue 2, pp 183–202 | Cite as

Optimal designs for generalized linear models

  • J. Burridge
  • P. Sebastiani


This paper solves some D-optimal design problems for certain Generalized Linear Models where the mean depends on two parameters and two explanatory variables. In all of the cases considered the support point of the optimal designs are found to be independent of the unknown parameters. While in some cases the optimal design measures are given by two points with equal weights, in others the support is given by three point with weights depending on the unknown parameters, hence the designs are locally optimal in general. Empirical results on the efficiency of the locally optimal designs are also given. Some of the designs found can also be used for planning D-optimal experiments for the normal linear model, where the mean must be positive.


D-optimality duality theory Generalized Linear Models locally optimal designs 


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Copyright information

© Societa Italiana di Statistica 1992

Authors and Affiliations

  • J. Burridge
    • 1
  • P. Sebastiani
    • 2
  1. 1.Dept. Statistical ScienceUniversity College of LondonLondonEngland
  2. 2.Dip. Scienze StatisticheUniversità di PerugiaPerugiaItaly

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