摘要
Orthogonal arrays (OAs) are used in many fields such as industry, agriculture, medi-cine, quality control of products and other scientific experiments. There are a lot of OAsin the existing experimental design literature. But when an experimenter wants to choosean OA in practice, it still often happens tha any existing OA contains someunsuitable factor-level combinations. For example, in a chemical experiment withtemperature and pressure as its two factors, high temperature and high pressure
<正> Orthogonal arrays (OAs) are used in many fields such as industry, agriculture, medi-cine, quality control of products and other scientific experiments. There are a lot of OAsin the existing experimental design literature. But when an experimenter wants to choosean OA in practice, it still often happens tha any existing OA contains someunsuitable factor-level combinations. For example, in a chemical experiment withtemperature and pressure as its two factors, high temperature and high pressure may
基金
Project supported by the National Natural Science Foundation of China.
