This paper presents D-optimal experimental designs for a variety of non-linear models which depend on an arbitrary number of covariates but assume a positive prior mean and a Fisher information matrix satisfying particular properties. It is argued that these optimal designs can be regarded as a ΓΏrst
First-order identification in linear models
β Scribed by Alain Monfort
- Publisher
- Elsevier Science
- Year
- 1978
- Tongue
- English
- Weight
- 800 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0304-4076
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π SIMILAR VOLUMES
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