论文检索

配对设计中以中位数进行重新随机化推断AI 解读

When a rerandomization or permutation test is applied to a matched-pairs design, the observed mean difference is typically compared with the null distribution of means that would have occurred under all possible randomizations. It is shown that rerandomizing the median instead of the mean transforms a formidable computational problem into one amenable to a hand calculator. Moreover, the robustness derived from rerandomizing the median rather than the mean is illustrated with…

实验设计的均方误差准则AI 解读

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.

实验设计的均方误差准则AI 解读

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.