Various optimality criteria for the prediction of individual response curves
Various optimality criteria for the prediction of individual response curves
复制标题
DOI：
10.1016/j.spl.2018.10.022
复制
发表时间：
2019-03-01
影响因子：
0.8
通讯作者：
Prus, Maryna
中科院分区：
文献类型：
--
作者：
Prus, Maryna
我们考虑最优设计的基弗的准则，其中包括E-准则作为一个特殊的情况下，和G-准则的预测随机系数回归（RCR）模型。我们得到了近似设计的一般基弗准则，并证明了E-准则在固定效应和RCR模型中的等价性。我们详细讨论了G准则的普通线性回归的特定设计区域。(C)2018 Elsevier B. V.版权所有。
We consider optimal designs for the Kiefer's criteria, which include the E-criterion as a particular case, and the G-criterion for the prediction in random coefficients regression (RCR) models. We obtain general the Kiefer's criteria for approximate designs and prove the equivalence of the E-criteria in the fixed effects and RCR models. We discuss in detail the G-criterion for ordinary linear regression on specific design regions. (C) 2018 Elsevier B.V. All rights reserved.