D-Optimal Designs for Generalized Linear Models

  • Randy R. Sitter
  • Ben Torsney
Part of the Contributions to Statistics book series (CONTRIB.STAT.)


This paper develops some simple methods for obtaining D-optimal designs for generalized linear models with multiple design variables. In some important cases the numerical complexity can be reduced to that of the two parameter case regardless of the original dimension. The form and properties of the obtained D-optimal designs are illustrated and discussed through a few interesting examples.


Generalize Linear Model Optimal Design Design Variable Design Space Point Design 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Randy R. Sitter
    • 1
  • Ben Torsney
    • 2
  1. 1.Department of Mathematics and StatisticsCarleton UniversityOttawaCanada
  2. 2.Department of StatisticsUniversity of GlasgowGlasgowUK

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