Mathematical Sciences: Topics in Economical Experimental Designs

数学科学：经济实验设计主题

• 批准号: 9204007
• 负责人: Dennis Lin
• 金额: $ 1.2万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-01 至 1995-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9204007&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Topics; Economical; Experimental

This research examines the roles of first-order saturated, supersaturated and minimal level change designs in the problem of minimizing the number of experiments required to differentiate the influential factors from those only contributing noise. Optimal experimental design in an industrial setting may also have as an objective the minimization of the number of experiments. Theoretical solutions have often depended upon unrealistic assumptions about the likely number of influential factors and their interactions. This research focuses on an efficient and effective approach to the design of a minimal series of experiments to identify those factors with the goal of predicting the optimal combination of factors or factor settings for full-scale production.

本研究探讨了一阶饱和的作用， 问题中的过饱和和最小水平变化设计 最小化区分所需的实验数量 从那些只贡献噪声的影响因素。 工业环境中的最佳实验设计可 也有一个目标，最小化的数量， 实验 理论上的解决方案往往依赖于 对有影响力的可能数量的不切实际的假设 因素及其相互作用。 这项研究的重点是 一种高效的设计方法， 一系列实验来确定这些因素， 预测因子或因子设置的最佳组合 进行全面生产。