other · Wiley StatsRef: Statistics Reference Online · 2014
Response Surface Methodology
David M. Steinberg, Ron S. Kenett
Cited by 13Abstract and details only
Abstract
Abstract 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.
Cite this paper
Steinberg, D. M., & Kenett, R. S. (2014). Response Surface Methodology. Wiley StatsRef: Statistics Reference Online. https://doi.org/10.1002/9781118445112.stat04105
Steinberg, David M., and Ron S. Kenett. “Response Surface Methodology.” Wiley StatsRef: Statistics Reference Online, 2014, https://doi.org/10.1002/9781118445112.stat04105.
Steinberg, David M., and Ron S. Kenett. 2014. “Response Surface Methodology.” Wiley StatsRef: Statistics Reference Online. https://doi.org/10.1002/9781118445112.stat04105.
Steinberg, D.M. and Kenett, R.S. (2014) ‘Response Surface Methodology’, Wiley StatsRef: Statistics Reference Online. Available at: https://doi.org/10.1002/9781118445112.stat04105.
@misc{steinberg2014response,
title = {{Response Surface Methodology}},
author = {Steinberg, David M. and Kenett, Ron S.},
journal = {Wiley StatsRef: Statistics Reference Online},
year = {2014},
doi = {10.1002/9781118445112.stat04105}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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