On information matrices in nonlinear experimental design (Q1117645)
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scientific article; zbMATH DE number 4092592
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | On information matrices in nonlinear experimental design |
scientific article; zbMATH DE number 4092592 |
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On information matrices in nonlinear experimental design (English)
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1989
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In the Gaussian nonlinear regression model we propose matrices which can be interpreted as measuring the information about the parameters in the case when they are estimated by least squares. The whole argument is based on a nonasymptotical approximative probability density of the least squares estimates. Proposals for nonlinear experimental design are presented.
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nonlinear least squares
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Gaussian nonlinear regression model
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nonasymptotical approximative probability density of the least squares estimates
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nonlinear experimental design
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