Design of Experiments
Design of Experiments
复制标题
DOI：
10.1002/9780470650707.ch9
复制
发表时间：
2010-05
期刊：
影响因子：
--
通讯作者：
J. Schuenemeyer;L. J. Drew
中科院分区：
文献类型：
--
作者：
J. Schuenemeyer;L. J. Drew
实验的统计设计是成功的产品开发和改进的重要组成部分，并提供了一种有效和科学的方法来获得有意义的信息。与传统的一次改变一个因素（OFAT）实验不同，变量一起改变，允许相互作用的评估。标准文本给出了关于特定测试计划的构建的详细信息，例如完全和部分析因设计，响应面设计以及结果数据的分析。这篇文章给出了一个简要的概述。这里的重点是实验设计的基本要素：定义实验的目的和范围，区分不同类型的实验变量，了解潜在的环境和约束条件，并进行阶段性实验。简要讨论处理的统计分析工具，多个响应变量，并提供了一些历史背景。关键词：组合化学;实验设计;析因设计;混料设计;响应面设计;六西格玛;统计学;田口
The statistical design of experiments is an essential ingredient of successful product development and improvement, and provides an efficient and scientific approach to obtaining meaningful information. In contrast to traditional vary one-factor-at-a-time (OFAT) experimentation, variables are changed together, permitting evaluation of interactions. Standard texts give details about the construction of specific test plans, such full and fractional factorial, and response surface designs, and the analysis of the resulting data. This article gives a brief overview. The focus here is on the fundamental elements of experimental design: defining the purpose and scope of the experiment, differentiating between alternative types of experimental variables, understanding the underlying environment and constraints, and conducting stage-wise experimentation. Brief discussions dealing with the statistical analysis tools, multiple response variables, and some historical background are also provided. Keywords: combinatorial chemistry; experimental design; factorial designs; mixture designs; response surface designs; six sigma; statistics; Taguchi