References
- Anbari, F. T. (1993). “Experimental Designs for Quality Improvement When There Are Hard-to-Change Factors and Easy-to-Change Factors”. Ph.D. Thesis, Drexel University, Philadelphia, PA.
- Anbari, F. T. (2004). “Optimal Blocking with One Hard-to-Change Factor”. Proceedings of the American Statistical Association Joint Statistical Meetings, Toronto, Ontario, Canada.
- Anbari, F. T. and Lucas, J. M. (1994). “Super-Efficient Designs: How to Run Your Experiment for Higher Efficiency and Lower Cost”. Proceedings, ASQ 48th Annual Quality Congress.
- Anderson, V. L. and McLean, R. A. (1974). “Restriction Errors: Another Dimension in Teaching Experimental Statistics”. The American Statistician 28, pp. 145–152.
- Bingham, D. and Sitter, R. R. (1999). “Minimum-Aberration Two-Level Fractional Factorial Split-Plot Designs”. Technometrics 41, 62–70.
- Bingham, D. R. and Sitter, R. R. (2001). “Design Issues in Fractional Factorial Split-Plot Experiments”. Journal of Quality Technology 33, pp. 2–15.
- Bingham, D. R. and Sitter, R. R. (2003). “Fractional Factorial Split-Plot Designs for Robust Parameter Experiments”. Technometrics 45, pp. 80–89.
- Bingham, D. R.; Schoen, E. D.; and Sitter, R. R. (2004). “Designing Fractional Factorial Split-Plot Experiments with Few Whole-Plot Factors”. Journal of the Royal Statistical Society, Series C (Applied Statistics) 53, pp. 325–339.
- Bisgaard, S. (2000). “The Design and Analysis of 2k–p × 2q–r Split Plot Experiments”. Journal of Quality Technology 32, pp. 39–56.
- Franklin, M. F. (1985). “Selecting Defining Contrasts and Confounded Effects in pn–m Factorial Experiments”. Technometrics 27, pp. 165–172.
- Franklin, M. F. and Bailey, R. A. (1977). “Selection of Defining Contrasts and Confounded Effects in Two-level Experiments”. Applied Statistics 26, pp. 321–326.
- Ganju, J. and Lucas, J. M. (1997). “Bias in Test Statistics when Restrictions in Randomization Are Caused by Factors”. Communications in Statistics: Theory and Methods 26, pp. 47–63.
- Ganju, J. and Lucas, J. M. (1999). “Detecting Randomization Restrictions Caused by Factors”. Journal of Statistical Planning and Inference 81, pp. 129–140.
- Ganju, J. and Lucas, J. M. (2005). “Randomized and Random Run Order Experiments”. Journal of Statistical Planning and Inference 133, pp. 199–210.
- Goos, P. and Vandebroek, M. (2004). “Outperforming Completely Randomized Designs”. Journal of Quality Technology 36, pp. 12–26.
- Goos, P.; Langhans, I.; and Vandebroek, M. (2006). “Practical Inference from Industrial Split-Plot Designs”. Journal of Quality Technology 38, pp. 163–179.
- Greenfield, A. A. (1976). “Selection of Defining Contrasts in Two-Level Experiments”. Applied Statistics 25, pp. 64–67.
- Greenfield, A. A. (1978). “Selection of Defining Contrasts in Two-level Experiments–A Modification”. Applied Statistics 27, p. 78.
- Ju, H. L. (1992). “Split Plotting and Randomization in Industrial Experiments”. Ph.D. Dissertation, University of Delaware, Newark, DE.
- Ju, H. L. and Lucas, J. M. (2002). “Lk Factorial Experiments with Hard-to-Change Factors and Easy-to-Change Factors”. Journal of Quality Technology 34, pp. 411–421.
- Kiefer, J. (1959). “Optimum Experimental Designs”. Journal of the Royal Statistical Society, Series B 21, pp. 272–319.
- Kiefer, J. (1961). “Optimum Designs in Regression Problems II”. The Annals of Mathematical Statistics 32, pp. 298–325.
- Kiefer, J. and Wolfowitz, J. (1960). “The Equivalence of Two Extremum Problems”. Canadian Journal of Mathematics 12, pp. 363–366.
- Kulahci, M.; Ramírez, J. G.; and Tobias, R. (2006). “Split-Plot Fractional Designs: Is Minimum Aberration Enough?” Journal of Quality Technology 38, pp. 56–64.
- Loeppky, J. L.; Bingham, D.; and Sitter, R. R. (2006). “Constructing Non-Regular Robust Parameter Designs”. Journal of Statistical Planning and Inference 136, pp. 3710–3729.
- Lucas, J. M. (1976). “Which Response Surface Design is Best”. Technometrics 18, pp. 411–417.
- Lucas, J. M. (1978). “Discussion of D-Optimal Fractions of Three-Level Factorial Designs”. Technometrics 20, pp. 381–382.
- Lucas, J. M. (2007). “Letters to the Editor: Comments on Optimal Designs for Second Order Polynomial Models (JQT, 2005, 37, pp. 253–266)”. Journal of Quality Technology 39, pp. 90–91.
- Lucas, J. M. and Ju, H. L. (1992). “Split Plotting and Randomization in Industrial Experiments”. Transactions, ASQ Annual Quality Congress, pp. 372–384.
- Meade, R. (1988). The Design of Experiments: Statistical Principles for Practical Applications. Cambridge University Press, Cambridge, UK.
- Mood, A. M. (1940). “The Distribution Theory of Runs”. Annals of Mathematical Statistics 11, pp. 367–392.
- O'Neill, J. and DeBrunce, V. (2001). “Robust Product Design to Minimize Counted Defects”. Statistical Methods in Quality: In Celebration of National Quality Month, Philadelphia Section of ASQ and Penn State Great Valley.
- Taguchi, G. (1984). Quality Engineering: Methodology & Application. American Supplier Institute, Romulus, MI.
- Taguchi, G. (1987). System of Experimental Design, Vol. 1 and 2. UNIPUB/Kraus International Publications, White Plains, NY, and American Supplier Institute, Dearborn, MI.
- Webb, D. F.; Lucas, J. M.; and Borkowski, J. J. (2004). “Factorial Experiments when Factor Levels Are Not Necessarily Reset”. Journal of Quality Technology 36, pp. 1–11.
- Wortham, A. W. and Smith, T. E. (1959). Practical Statistics in Experimental Design: Methods/Applications. Dallas Publishing House, Dallas, TX.
- Youden, W. J. (1972). “Enduring Values”. Technometrics 14, pp. 1–11.