论文信息 - Response Surface Methodology

Response Surface Methodology

Response surface methodology is a general strategy for combining designed experiments and regression analysis to explore the relationship between one or more response variables and a set of factors that are thought to affect the responses. Some of the key elements in this strategy include sequential progress, a matching of experimental designs to the complexity of needed regression models and rapid progress to the most interesting parts of the factor space. These methods are often used to seek optimal settings of the factors for reaching specific values of the response, such as a maximum or minimum value. Response surface methods are widely used in research and development and industrial applications. Keywords: response surfaces; sequential experimentation; factorial design; central composite design; Box-Behnken design

Ron S. Kenett | David M. Steinberg | D. Steinberg

[1] George E. P. Box,et al. Statistics as a Catalyst to Learning by Scientific Method Part I—An Example , 1999 .

[2] Connie M. Borror,et al. Response Surface Methodology: A Retrospective and Literature Survey , 2004 .

[3] George E. P. Box,et al. Simplex-Sum Designs: A Class of Second Order Rotatable Designs Derivable From Those of First Order , 1960 .

[4] R. Plackett,et al. THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS , 1946 .

[5] G. Box. The Exploration and Exploitation of Response Surfaces: Some General Considerations and Examples , 1954 .

[6] G. Box,et al. A Basis for the Selection of a Response Surface Design , 1959 .

[7] George E. P. Box,et al. Statistics as a catalyst to learning by scientific method , 1999 .

[8] G. Box,et al. Some New Three Level Designs for the Study of Quantitative Variables , 1960 .

[9] Raymond H. Myers,et al. Response Surface Methodology--Current Status and Future Directions , 1999 .

[10] G. Box,et al. The Exploration and Exploitation of Response Surfaces: An Example of the Link between the Fitted Surface and the Basic Mechanism of the System , 1955 .

[11] J. S. Hunter,et al. Multi-Factor Experimental Designs for Exploring Response Surfaces , 1957 .