# DOE References

### From ReliaWiki

(Redirected from EDAR Appendix F)

- AIAG (2010), Measurement Systems Analysis (MSA), Automotive Industry Action Group, 4th edition.
- Box, G. E. P., and Behnken, D. W. (1960), Some New Three Level Designs for the Study of Quantitative Variables, Technometrics, Vol. 2, No. 4, pp. 455-475.
- Box, G. E. P., and Draper, N. R. (1987), Empirical Model Building and Response Surfaces, John Wiley & Sons, Inc., New York.
- Box, G. E. P., Hunter, W. G., and Hunter, J. S. (1978), Statistics for Experimenters, John Wiley & Sons, Inc., New York.
- Cook, R. D. and Nachtsheim, C. J. (1980), “A Comparison of Algorithms for Constructing Exact D-Optimal Designs,” Technometrics, vol. 22, no. 3, 315-324.
- Derringer, G., and Suich, R. (1980), Simultaneous Optimization of Several Response Variables, Journal of Quality Technology, Vol. 12, pp. 214-219.
- Draper, N., and Smith H. (1998), Applied Regression Analysis, John Wiley & Sons, Inc., New York.
- Dykstra, O. (1971), “The augmentation of experimental data to maximize |X’X|," Technometrics, vol. 13, no. 3, 682-688.
- Fisher, R. A. (1966), The Design of Experiments, Hafner Publishing Company, New York.
- Fedorov, V. V. (1972), “Theory of Optimal Experiments (Review)”, Biometrika, cvol. 59, no. 3, 697-698. Translated and edited by W. J. Studden and E. M. Klimko.
- Fries, A., and Hunter, W. G. (1980), Minimum Aberration 2k-p Designs, Technometrics, Vol. 22, pp. 601-608.
- Galil, Z. and Kiefer, J. (1980), “Time and Space Saving Computer Methods, Related to Mitchell’s DETMAX, for Finding D-Optimal Designs”, Technometrics, vol. 22, no. 3, 301-313.
- Guo, H., Niu, P., and Szidarovszky, F. (2012), "A Simple Method for Power Calculation in Experiments for Treatment Comparison," The IEEE International Conference on Industrial Engineering and Engineering Management, Dec, 2012.
- Hamada, M., and Balakrishnan N. (1998), Analyzing Unreplicated Factorial Experiments: A Review with Some New Proposals, Statistica Sinica, Vol. 8, pp. 1-41.
- Johnson, M. E. and Nachtsheim, C. J. (1983), “Some Guidelines for Constructing Exact D-Optimal Designs on Convex Design Spaces,” Technometrics , vol. 25, no. 3, 271-277.
- Khuri, A. I., and Cornell, J. A. (1996), Response Surfaces: Designs and Analyses, Dekker, New York.
- Kutner, M. H., Nachtsheim, C.J., Neter, J., and Li, W. (2005), Applied Linear Statistical Models, McGraw-Hill/Irwin, New York.
- Lenth, R. V. (1989), "Quick and Easy Analysis of Unreplicated Factorials," Technometrics, Vol. 31, pp. 469-473.
- Meeker, William Q., and Escobar, Luis A. (1998), Statistical Methods for Reliability Data, John Wiley & Sons, Inc., New York.
- Montgomery, Douglas C. (2001), Design and Analysis of Experiments, John Wiley & Sons, Inc., New York.
- Montgomery, Douglas C., and Peck, E. A. (1992), Introduction to Linear Regression Analysis, John Wiley & Sons, Inc., New York.
- Montgomery, Douglas C., and Runger, George C. (1991), Applied Statistics and Probability for Engineers, John Wiley & Sons, Inc., New York.
- Montgomery, Douglas C., and Runger, George C. (1993a), Gauge capability analysis and designed experiments. Part I: Basic methods. Quality Engineering, 6, 1, 115-135.
- Montgomery, Douglas C., and Runger, George C.(1993b), Gauge capability analysis and designed experiments. Part II: Experimental design models and variance component estimation, 6, 2, 289-305.
- Myers, R. H., and Montgomery, D. C. (1995), Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley & Sons, Inc., New York.
- Plackett, R. L., and Burman, J. P. (1946), The Design of Optimum Multifactorial Experiments, Biometrika, Vol. 33, No. 4, pp. 305-325.
- ReliaSoft Corporation (2007a), Accelerated Life Testing Reference, ReliaSoft Publishing, Tucson, AZ.
- ReliaSoft Corporation (2007b), Life Data Analysis Reference, ReliaSoft Publishing, Tucson, AZ.
- Ross, S. (1987), Introduction to Probability and Statistics for Engineers and Scientists, John Wiley & Sons, Inc., New York.
- Sahai, Hardeo, and Ageel, Mohammed I. (2000), The Analysis of Variance, Birkhauser, Boston.
- Searle, S. R. (1997), Linear Models, John Wiley & Sons, Inc., New York.
- Searle, S. R. (1971), Topics in Variance Component Estimation, Biometrics, Vol. 27, No. 1, pp. 1-76.
- Taguchi, G. (1991), Introduction to Quality Engineering, Asian Productivity Organization, UNIPUB, White Plains, New York.
- Taguchi, G. (1987), System of Experimental Design, UNIPUB/Kraus International, White Plains, New York.
- Taguchi, Genichi, Chowdhury, Subir, and Wu, Yuin. (2005), Taguchi's Quality Engineering Handbook, John Wiley & Sons, Inc., Hoboken, New Jersey.
- Tukey, J. W. (1951), Quick and Dirty Methods in Statistics, Part II, Simple Analysis for Standard Designs, Proceedings of the Fifth Annual Convention, American Society for Quality Control, pp. 189-197.
- Wu, C. F. Jeff, and Hamada, Michael (2000), Experiments: Planning, Analysis and Parameter Design Optimization, John Wiley & Sons, Inc., New York.