Response Surface Methodology
Response Surface Methodology
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DOI：
10.1007/978-3-319-52250-0_16
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发表时间：
2017-01-01
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影响因子：
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通讯作者：
Draguljic, Danel
中科院分区：
文献类型：
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作者：
Dean, Angela;Voss, Daniel;Draguljic, Danel
用于拟合涉及多个连续变量的预测模型的实验被称为响应面实验。响应面方法的目标包括确定优化平均响应的变量设置以及估计该良好位置附近的响应面。本章的第一部分讨论了一阶设计和一阶模型，包括拟合不足和最陡上升路径以找到最优值。本章的第二部分介绍了二阶设计和探索最佳位置附近的模型。通过一个真实的实验，说明了响应面法的应用。本章介绍的概念通过使用SAS和R软件进行说明。
Experiments for fitting a predictive model involving several continuous variables are known as response surface experiments. The objectives of response surface methodology include the determination of variable settings for which the mean response is optimized and the estimation of the response surface in the vicinity of this good location. The first part this chapter discusses first-order designs and first-order models, including lack of fit and the path of steepest ascent to locate the optimum. The second part of the chapter introduces second-order designs and models for exploring the vicinity of the optimum location. The application of response surface methodology is demonstrated through a real experiment. The concepts introduced in this chapter are illustrated through the use of SAS and R software.