Minimax robust designs for regression models with heteroscedastic errors
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DOI: 10.1007/s00184-021-00827-0
Abstract: Minimax robust 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… read more here.
Keywords: robust designs; minimax robust; regression models; heteroscedastic errors ... See more keywords