PARAMETER NEUTRAL OPTIMUM DESIGN FOR NONLINEAR MODELS

Authors
Citation
D. Firth et Jp. Hinde, PARAMETER NEUTRAL OPTIMUM DESIGN FOR NONLINEAR MODELS, Journal of the Royal Statistical Society. Series B: Methodological, 59(4), 1997, pp. 799-811
Citations number
16
Categorie Soggetti
Statistic & Probability","Statistic & Probability
Journal title
Journal of the Royal Statistical Society. Series B: Methodological
ISSN journal
00359246 → ACNP
Volume
59
Issue
4
Year of publication
1997
Pages
799 - 811
Database
ISI
SICI code
1369-7412(1997)59:4<799:PNODFN>2.0.ZU;2-T
Abstract
Some Bayesian approaches to D-optimum design of experiments are consid ered from the viewpoint of invariance under reparameterization of the underlying statistical model. An invariant criterion is proposed which does not require the detailed specification of a prior, and which is shown to be equivalent to G-optimality under a Jeffreys prior. The met hods are applied and discussed in the contexts of exponential decay an d quantal response models.