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Some results on D-optimal designs for nonlinear models with applications

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  • Gang Li
  • Dibyen Majumdar

Abstract

Sufficient conditions are established for the locally D$-optimal design for a nonlinear model to have a minimal number of support points. The conditions are applied to obtain locally D-optimal designs for a one-compartment pharmacokinetic model and a Poisson regression model. Copyright 2009, Oxford University Press.

Suggested Citation

  • Gang Li & Dibyen Majumdar, 2009. "Some results on D-optimal designs for nonlinear models with applications," Biometrika, Biometrika Trust, vol. 96(2), pages 487-493.
    • Handle: RePEc:oup:biomet:v:96:y:2009:i:2:p:487-493
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    File URL: http://hdl.handle.net/10.1093/biomet/asp004
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    Cited by:

    1. Hyun, Seung Won & Yang, Min & Flournoy, Nancy, 2013. "A procedure for finding an improved upper bound on the number of optimal design points," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 276-282.
    2. Gang Li, 2012. "Optimal and efficient designs for Gompertz regression models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(5), pages 945-957, October.

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