Optimal Designs for Minimax-Criteria in Random Coefficient Regression Models

11/08/2018

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by   Maryna Prus, et al.

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We consider minimax-optimal designs for the prediction of individual parameters in random coefficient regression models. We focus on the minimax-criterion, which minimizes the "worst case" for the basic criterion with respect to the covariance matrix of random effects. We discuss particular models: linear and quadratic regression, in detail.