The RSREG Procedure

References

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  • Box, G. E. P. and Draper, N. R. (1982), “Measures of Lack of Fit for Response Surface Designs and Predictor Variable Transformations,” Technometrics, 24, 1–8.

  • Box, G. E. P. and Draper, N. R. (1987), Empirical Model Building and Response Surfaces, New York: John Wiley & Sons.

  • Box, G. E. P. and Hunter, J. S. (1957), “Multifactor Experimental Designs for Exploring Response Surfaces,” Annals of Mathematical Statistics, 28, 195–242.

  • Box, G. E. P., Hunter, W. G., and Hunter, J. S. (1978), Statistics for Experimenters, New York: John Wiley & Sons.

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  • Draper, N. R. (1963), “Ridge Analysis of Response Surfaces,” Technometrics, 5, 469–479.

  • Draper, N. R. and John, J. A. (1988), “Response Surface Designs for Quantitative and Qualitative Variables,” Technometrics, 30, 423–428.

  • Draper, N. R. and Smith, H. (1981), Applied Regression Analysis, Second Edition, New York: John Wiley & Sons.

  • Frankel, S. A. (1961), “Statistical Design of Experiments for Process Development of MBT,” Rubber Age, 89, 453.

  • John, P. W. M. (1971), Statistical Design and Analysis of Experiments, New York: Macmillan.

  • Mead, R. and Pike, D. J. (1975), “A Review of Response Surface Methodology from a Biometric Point of View,” Biometrics, 31, 803.

  • Meyer, D. C. (1963), “Response Surface Methodology in Education and Psychology,” Journal of Experimental Education, 31, 329.

  • Myers, R. H. (1976), Response Surface Methodology, Blacksburg, VA: Virginia Polytechnic Institute and State University.

  • Myers, R. H. and Montgomery, D. C. (1995), Response Surface Methodology: Process and Product Optimization Using Designed Experiments, New York: John Wiley & Sons.

  • Rawlings, J. O., Pantula, S. G., and Dickey, D. A. (1998), Applied Regression Analysis: A Research Tool, Springer Texts in Statistics, Second Edition, New York: Springer-Verlag.

  • Schneider, A. M. and Stockett, A. L. (1963), “An Experiment to Select Optimum Operating Conditions on the Basis of Arbitrary Preference Ratings,” Chemical Engineering Progress Symposium Series.