REFERENCES
- Cornell, J.A. (2000), “Fitting a Slack-Variable Model to Mixture Data: Some Questions Raised,” Journal of Quality Technology, 32, 133–147.
- ——— (2002), Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data (3rd ed.), New York: Wiley.
- Cornell, J.A., and Gorman, J.W. (2003), “Two New Mixture Models: Living with Collinearity But Removing Its Influence,” Journal of Quality Technology, 35, 78–88.
- Goldfarb, H.B., Anderson-Cook, C.M., Borror, C.M., and Montgomery, D.C. (2004), “Fraction of Design Space Plots for Assessing Mixture and Mixture-Process Designs,” Journal of Quality Technology, 36, 169–179.
- Hastie, T., Tibshirani, R., Friedman, J., Hastie, T., Friedman, J., and Tibshirani, R. (2009). The Elements of Statistical Learning (2nd ed.), New York: Springer.
- John, R.C. S. T. (1984), “Experiments with Mixtures, Ill-Conditioning, and Ridge Regression,” Journal of Quality Technology, 16, 81–96.
- Kang, L., Joseph, R.V., and Brenneman, W. (2011), “Design and Modeling Strategies for Mixture-of-Mixtures Experiments,” Technometrics, 53, 125–136.
- Khuri, A.I. (2005), “Slack-Variable Models Versus Scheffé's Mixture Models,” Journal of Applied Statistics, 32, 887–908.
- Kowalski, S.M., Cornell, J.A., and Vining, G.G. (2002), “Split-Plot Designs and Estimation Methods for Mixture Experiments With Process Variables,” Technometrics, 44, 72–79.
- Kutner, M.H., Nachtsheim, C.J., Neter, J., and Li, W. (2004), Applied Linear Statistical Models (5th ed.), Irwin: McGraw-Hill.
- Montgomery, D.C., and Voth, S.E. (1994), “Multicollinearity and Leverage in Mixture Experiments,” Journal of Quality Technology, 26, 96–108.
- Piepel, G.F. (2006), “A Note Comparing Component-Slope, Scheffé and Cox Parameterization of the Linear Mixture Experiment Model,” Journal of Applied Statistics, 33, 397–403.
- ——— (2007), “A Component Slope Linear Model for Mixture Experiments,” Quality Technology and Quantitative Management, 4, 331–343.
- Piepel, G.F., Cooley, S.K., and Jones, B. (2005), “Construction of a 21-Component Layered Mixture Experiment Design Using a New Mixture Coordinate-Exchange Algorithm,” Quality Engineering, 17, 579–594.
- Piepel, G.F., and Cornell, J.A. (1985), “Models for Mixture Experiments When the Response Depends on the Total Amount,” Technometrics, 27, 219–227.
- Piepel, G.F., and Landmesser, S.M. (2009), “Mixture Experiment Alternatives to Slack Variable Approach,” Quality Engineering, 21, 262–276.
- Prescott, P., Dean, A.M., Draper, N.R., and Lewis, S.M. (2002), “Mixture Experiments: Ill-Conditioning and Quadratic Model Specification,” Technometrics, 44, 260–268.
- Smith, W.F. (2005), Experimental Design for Formulation, ASA-SIAM Series on Statistics and Applied Probability, Philadelphia, PA: ASA-SIAM.
- Snee, R.D. (1975), “Experimental Designs for Quadratic Models in Constrained Mixture Spaces,” Technometrics, 17, 149–159.
- Wu, C.F. J., and Hamada, M.S. (2011), Experiments: Planning, Analysis, and Optimization (Vol. 58), New York: Wiley.