用混合水平正交设计构造过饱和设计和近正交设计的方法

Sunita Khurana, Shakti Banerjee
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引用次数: 0

摘要

正交阵列如实验计划的析因和分数析因设计用于确定重要因素,以提高实验质量。在科学研究阶段,超饱和设计是非常划算的。近正交阵列具有良好的统计性能,可以构建多种不同水平的小运行设计。本文用正交设计构造了超饱和设计和近正交设计。在E (s2)和J2标准下开发最优或高效的因子筛选实验是一个很大的兴趣。
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The Development of a Method for Constructing Super Saturated Design and Nearly Orthogonal Design with Mixed Level Orthogonal Design
Orthogonal arrays such as factorial and fractional factorial designs of experimental plans are used for identifying important factors to improve quality of an experiment. Super Saturated designs are very cost-effective in the stage of scientific investigations. Nearly-Orthogonal arrays that can construct a variety of small-run designs with different levels have good statistical properties. In the present paper Super Saturated design and Nearly Orthogonal design are constructed with Orthogonal design. It is a great deal of interest in the development of factor screening experiments that are optimal or highly efficient under the E (s2) and J2 criterion.
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