Workweek Optimization of Experimental Designs: Exact Designs for Variable Sampling Costs
Workweek Optimization of Experimental Designs: Exact Designs for Variable Sampling Costs
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实验设计的工作周优化：可变采样成本的精确设计
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
A. Bailer
中科院分区：
文献类型：
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作者：
Stephen E. Wright;Belle M. Sigal;A. Bailer
最佳实验设计将高质量的参数估计与资源的有效利用相结合。本文提出了一种在抽样成本可变的情况下进行实验设计启发式优化的新方法。该方法找到了廉价的设计与理想的统计质量，并提供了大量的洞察力，在特定的设计点抽样的相对重要性（在货币方面）。该方法的上下文中说明的启动-停止接触研究水生毒理学。快速分析可以分析大量的敏感性问题，并检查信息和成本之间的权衡。该方法描述了禁止重复采样的设计;允许重复采样的概括作为在线补充材料中的附录提供。
An optimal experimental design combines high-quality parameter estimation with efficient use of resources. This paper proposes a new method for heuristic optimization of experimental designs in the presence of variable sampling costs. The method finds the inexpensive designs with desirable statistical qualities and provides substantial insight regarding the relative importance (in monetary terms) of sampling at specific design points. The method is illustrated within the context of a start-stop exposure study in aquatic toxicology. Fast heuristics enable the analyses of a large range of sensitivity issues and examination of trade-offs between information and cost. The method is described for designs in which replicate sampling is prohibited; a generalization allowing for replicate sampling is provided as an appendix in the online supplemental materials.