A Mean Squared Error Criterion for the Design of Experiments
提出一种实验设计准则，同时考虑抽样方差和模型不准确带来的偏差，并给出两种算法来构造近似或精确设计，附有实例。
In estimating a response surface over a design region of interest, mean squared error can arise both from sampling variance and bias introduced by model inadequacy. The criterion adopted here for experimental design attempts to protect against bias resulting from a large class of deviations from the assumed model. Two algorithms are proposed for the construction of either approximate or exact designs and an example is given.