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Medientyp:
E-Artikel
Titel:
Parameter Neutral Optimum Design for Non-Linear Models
Beteiligte:
Firth, D.;
Hinde, J. P.
Erschienen:
Blackwell Publishers, 1997
Erschienen in:
Journal of the Royal Statistical Society. Series B (Methodological), 59 (1997) 4, Seite 799-811
Sprache:
Englisch
ISSN:
0035-9246
Entstehung:
Anmerkungen:
Beschreibung:
Some Bayesian approaches to D-optimum design of experiments are considered 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 methods are applied and discussed in the contexts of exponential decay and quantal response models.