References
- Box, G. E. P. and Jones, S. (1990). “Designing Products that are Robust to the Environment”, CQPI Report No. 56, University of Wisconsin-Madison.
- Del Castillo, E., and Montgomery, D. C. (1993). “A Nonlinear Programming Solution to the Dual Response Problem”. Journal of Quality Technology 25(4), 199–204.
- Derringer, G., and Suich, R. (1980). “Simultaneous Optimization of Several Response Variables”. Journal of Quality Technology 12(4), 214–219.
- Draper, N. R. and Smith, H. (1998). Applied Regression Analysis, 3rd ed. John Wiley & Sons, New York.
- Frisbee, S. E. and McGinity, J. W. (1994). “Influence of Nonionic Surfactants on the Physical and Chemical Properties of a Biodegradable Pseudolatex”. European Journal of Pharmaceutics and Biopharmaceutics 40(6), 355–363.
- Heredia-Langner, A.; Carlyle, W. M.; Montgomery, D. C.; Borror, C. M.; and Runger, G. C. (2003). “Genetic Algorithms for the Construction of D-optimal designs”. Journal of Quality Technology 35, 28–46.
- Heredia-Langner, A.; Montgomery, D. C.; Carlyle, W. M.; and Borror, C. M. (2004). “Model-Robust Optimal Designs: A Genetic Algorithm Approach”. Journal of Quality Technology 36(3), 263–279.
- Lange, K. L.; Little, R. J. A.; and Taylor, J. M. G. (1989). “Robust Statistical Modeling Using the t Distribution”. Journal of the American Statistical Association 84, 881–896.
- Lee, Y. and Nelder, J. A. (2003). “Robust Design via Generalized Linear Models”. Journal of Quality Technology 35, 2–12.
- Liu, C. and Rubin, D. B. (1995). “ML Estimation of the t Distribution Using EM and Its Extension, ECM and ECME”. Statistica Sinica 5, 19–39.
- McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models, 2nd ed. Chapman and Hall, London, UK.
- Miro-Quesada, G., Del Castillo, E. and Peterson, J. J. (2004). “A Bayesian Approach for Multiple Response Surface Optimization in the Presence of Noise Variable”. Journal of Applied Statistics 31(3), 251–270.
- Myers, R. H. and Montgomery, D. C. (2002). Response Surface Methodology, 2nd ed. John Wiley & Sons, New York.
- Peterson, J. J. (2004). “A Posterior Predictive Approach to Multiple Response Surface Optimization”. Journal of Quality Technology 36(2), 139–153.
- Raghunathan, T. E. (2000). “Bayesian Analysis of Quality Level Using Simulation Methods”. Journal of Quality Technology 32, 172–182.
- Rajagopal, R. and Del Castillo, E. (2005). “Model-Robust Process Optimization using Bayesian Model Averaging”. Technometrics. In press. Available at http://www.ie.psu.edu/researchlabs/Engineeringstatistics/publications.htm.
- Rousseeuw, P. J. and Leroy, A. M. (1987). Robust Regression and Outlier Detection. John Wiley & Sons, New York.
- Taguchi, G. and Wu, Y. (1980). Introduction to Off-line Quality Control. Central Japan Quality Control Association, Nagoya, Japan.
- Taguchi, G. (1986). Introduction to Quality Engineering. Asian Productivity Organization, UNIPUB, White Plains, New York.
- Taguchi, G. (1987). System of Experimental Design: Engineering Methods to Optimize Quality and Minimize Cost. UNIPUB/Kraus International, White Plains, New York.
- Zellner, A. (1986). “On Assessing Prior Distributions and Bayesian Regression Analysis with g-Prior Distributions”. Bayesian Inference and Decision Techniques: Essays in Honour of Bruno de Finetti, eds. Goel, P. K. and Zellner, A. North-Holland, Amsterdam.