References

Box, G. E. P. (1954), “The Exploration and Exploitation of Response Surfaces: Some General Considerations,” Biometrics, 10, 16.

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.

Box, G. E. P. and Wilson, K. J. (1951), “On the Experimental Attainment of Optimum Conditions,” Journal of the Royal Statistical Society.

Cleveland, W. S. (1993), Visualizing Data, Summit, NJ: Hobart Press.

Cochran, W. G. and Cox, G. M. (1957), Experimental Designs, Second Edition, New York: John Wiley & Sons.

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: 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.