Second-order Response Surface Models
Second-Order Response Surface Models is a statistical modeling framework within response surface methodology that specifies a quadratic functional relationship between input variables and a response variable, distinguishing it from first-order or higher-order models by incorporating linear, interaction, and quadratic terms to approximate curvature in the response surface.
259
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24.1K
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574
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295
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2017–2026
40
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Empirical Model Building and Response Surfaces
Anne E. Freeny, George E. P. Box, Norman R. Draper · Technometrics · 1988 · 5.1K citations
Response Surfaces: Designs and Analyses
Eric R. Ziegel, André I. Khuri, John A. Cornell · Technometrics · 1997 · 1.5K citations
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Virginia Tech
Blacksburg, United States
9 h-index
11 publications
416 citations
Seoul National University
Seoul, South Korea
9 h-index
13 publications
347 citations
University of Wisconsin–Madison
Madison, United States
9 h-index
12 publications
435 citations
Arizona State University
Tempe, United States
7 h-index
15 publications
830 citations
Virginia Commonwealth University
Richmond, United States
6 h-index
10 publications
237 citations
KLE Technological University
Hubballi, India
5 h-index
10 publications
330 citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
8 publications
2.2K citations
University of Florida
Gainesville, United States
5 h-index
6 publications
216 citations
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34 publications · 8.6K citations
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15 publications · 553 citations
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6 publications · 2.3K citations
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5 publications · 291 citations
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4 publications · 727 citations
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