Response Surface Designs for Three Factors at Three Levels

Robert M. De Baun

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Optimal Experimental Design Methods Statistical Methods and Applications Advanced Statistical Methods and Models

Abstract

Many experimental designs have been proposed for exploring an unknown response function using a second order approximating polynomial model. Second order experimental designs are described for the case of three variables in which each variable need only be run at three levels.

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References

1951On the Experimental Attainment of Optimum Conditions 1957Multi-Factor Experimental Designs for Exploring Response Surfaces 1954The Exploration and Exploitation of Response Surfaces: Some General Considerations and Examples

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1960Some New Three Level Designs for the Study of Quantitative Variables 1966A Review of Response Surface Methodology: A Literature Survey 2014Response Surface Designs 1969Recent Work on the Design of Experiments: A Bibliography and a Review 199611 Response surface designs 1961Missing Values in Response Surface Designs 2008A new statistical process control method to monitor and diagnose bivariate normal mean vectors and covariance matrices simultaneously

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