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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

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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.

Metadaten
Titel
Generation of Optimal Designs for Nonlinear Models when the Design Points are Incidental Parameters
verfasst von
Martijn P. F. Berger
Copyright-Jahr
1992
Verlag
Physica-Verlag HD
DOI
https://doi.org/10.1007/978-3-642-48678-4_23

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