Minimax D-optimal designs for regression models with heteroscedastic errors
Minimax D-optimal designs for regression models with heteroscedastic errors are studied and constructed. These designs are robust against possible misspecification of the error variance in the model. We propose a flexible assumption for the error variance and use a minimax approach to define robust...
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| Format: | Others |
| Language: | English en |
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2021
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| Online Access: | http://hdl.handle.net/1828/12863 |