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Response Surface Modeling and Optimization in Multiresponse Experiments Using Seemingly Unrelated Regressions

Summary: [This abstract is based on the authors' abstract.] In most response surface methodology experiments involving multiple responses, a model is fitted to each response using ordinary least squares (OLS). It is shown that another approach to multiple-response problems, seemingly unrelated regressions (SUR), can be useful when response variables are correlated, and that it produces more precise estimates of the model parameters than OLS. The result is a more accurate estimate of the optimum operating conditions.

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  • Topics: Design of Experiments
  • Keywords: Response surface methodology (RSM),Correlation,Regression analysis,Multiresponse experiment,Least squares
  • Author: Shah, Harry K.; Montgomery, Douglas C.; Carlyle, W. Matthew
  • Journal: Quality Engineering