Ford, I. , Torsney, B. and Wu, C.F.J. (1992) The use of a canonical form in the construction of locally optimal designs for non-linear problems. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 54(2), pp. 569-583.
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Abstract
Optimal experimental designs for non-linear problems depend on the values of the underlying unknown parameters in the model. For various reasons there is interest in providing explicit formulae for the optimal designs as a function of the unknown parameters. This paper shows that, for a certain class of generalized linear models, the problem can be reduced to a canonical form. This simplifies the underlying problem and designs are constructed for several contexts with a single variable using geometric and other arguments.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Ford, Professor Ian and Torsney, Dr Bernard |
| Authors: | Ford, I., Torsney, B., and Wu, C.F.J. |
| Subjects: | R Medicine > R Medicine (General) |
| College/School: | College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Robertson Centre College of Science and Engineering > School of Mathematics and Statistics > Statistics |
| Journal Name: | Journal of the Royal Statistical Society: Series B (Statistical Methodology) |
| ISSN: | 1369-7412 |
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