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.

中文翻译：

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随机系数回归模型中极小极大准则的优化设计

我们考虑在随机系数回归模型中预测单个参数的极小极大优化设计。我们专注于最小最大标准，它最大限度地减少了关于随机效应协方差矩阵的基本标准的“最坏情况”。我们详细讨论了特定模型：线性和二次回归。