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Minimax robust designs for regression models with heteroscedastic errors

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0 Published in 2021 at "Metrika"

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

Robust designs for generalized linear mixed models with possible model misspecification

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0 Published in 2021 at "Journal of Statistical Planning and Inference"

DOI: 10.1016/j.jspi.2020.04.006

Abstract: Abstract We study robust designs for generalized linear mixed models (GLMMs) with protections against possible departures from underlying model assumptions. Among various types of model departures, an imprecision in the assumed linear predictor or the… read more here.

Keywords: robust designs; designs generalized; generalized linear; model ... See more keywords