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A note on the construction of locally D- and DS-optimal designs for the binary logistic model with several explanatory variables

Author

Listed:
  • Kabera, M. Gaëtan
  • Haines, Linda M.
  • Ndlovu, Principal

Abstract

An explicit formulation of D- and DS-optimal designs for the binary logistic regression model in several variables, without interaction between the variables, is presented. The proof of the optimality of the designs is “traditional” in the sense that it invokes the Equivalence Theorem, and builds on the earlier work of Sitter and Torsney (1995b) and Torsney and Gunduz (2001) and complements that given by Yang et al. (2011)

Suggested Citation

  • Kabera, M. Gaëtan & Haines, Linda M. & Ndlovu, Principal, 2012. "A note on the construction of locally D- and DS-optimal designs for the binary logistic model with several explanatory variables," Statistics & Probability Letters, Elsevier, vol. 82(5), pages 865-870.
    • Handle: RePEc:eee:stapro:v:82:y:2012:i:5:p:865-870
    DOI: 10.1016/j.spl.2012.01.023
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    Cited by:

    1. Zhongshen Wang & John Stufken, 2022. "Locally D-Optimal Designs for Binary Responses and Multiple Continuous Design Variables," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 101-113, September.

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