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Backward Deletion to Minimize Prediction Errors in Models from Factorial Experiments with Zero to Six Center Points

机译:向后删除以最小化从零到六个中心点的因子实验模型中的预测误差

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Population model coefficients were chosen to simulate a saturated 2 to the fourth power fixed effects experiment having an unfavorable distribution of relative values. Using random number studies, deletion strategies were compared that were based on the F distribution, on an order statistics distribution of Cochran's, and on a combination of the two. Results of the comparisons and a recommended strategy are given.

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