Optimal designs for the prediction of individual parameters in hierarchical models
Optimal designs for the prediction of individual parameters in hierarchical models
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DOI：
10.1111/rssb.12105
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发表时间：
2016-01-01
影响因子：
5.8
通讯作者：
Schwabe, Rainer
中科院分区：
文献类型：
--
作者：
Prus, Maryna;Schwabe, Rainer
在层次线性混合模型的框架内，导出了预测单个响应曲线的最优设计的特征。结果表明，所获得的最优设计可能与迄今为止在文献中传播的最优设计有很大的不同，而后者可能在性能方面变得无用。
Characterizations of optimal designs are derived for the prediction of individual response curves within the framework of hierarchical linear mixed models. It is shown that the so-obtained optimal designs may differ substantially from those propagated in the literature so far and that the latter may become useless in terms of their performance.