A mixed integer optimization approach for model selection in screening experiments
收藏Taylor & Francis Group2023-02-02 更新2026-04-16 收录
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https://tandf.figshare.com/articles/dataset/A_mixed_integer_optimization_approach_for_model_selection_in_screening_experiments/11933523/1
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资源简介：
After completing the experimental runs of a screening design, the responses under study are analyzed by statistical methods to detect the active effects. To increase the chances of correctly identifying these effects, a good analysis method should provide alternative interpretations of the data, reveal the aliasing present in the design, and search only meaningful sets of effects as defined by user-specified restrictions such as effect heredity. This article presents a mixed integer optimization strategy to analyze data from screening designs that possesses all these properties. We illustrate our method by analyzing data from real and synthetic experiments, and using simulations.
提供机构：
Schoen, Eric D.; Vazquez, Alan R.; Goos, Peter
创建时间：
2020-03-04
