1992 | OriginalPaper | Buchkapitel
Generation of Optimal Designs for Nonlinear Models when the Design Points are Incidental Parameters
verfasst von : Martijn P. F. Berger
Erschienen in: Computational Statistics
Verlag: Physica-Verlag HD
Enthalten in: Professional Book Archive
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This paper considers the problem of finding D-optimal designs for nonlinear exponential models when the design points are not known, and have to be approximated or estimated. The procedure in this paper not only deals with this problem, but also handles the problem that for nonlinear models the information of the parameters is a function of the values of these parameters. The results will be discussed and illustrated for item response theory models that are frequently used in psychometric research.