References
- Addelman, S. (1964). Some two-level fractional factorial plans with split-plot confounding. Technometrics, 6, 253–258.
- Bingham, D. and Sitter, R. S. (1999). Minimum aberration two-level fractional factorial split-plot designs. Technometrics, 41, 62–70.
- Bingham, D. and Sitter, R. R. (2001). Design issues in fractional factorial split-plot experiments. Journal of Quality Technology, 33, 2–15.
- Bingham, D. and Sitter, R. S. (2003). Fractional factorial split-plot designs for robust parameter experiments. Technometrics, 45, 80–89.
- Bingham, D., Schoen, E. D. and Sitter, R. R. (2004). Designing fractional factorial split-plot experiments with few whole-plot numbers. Applied Statistics, 53(2), 325–339.
- Bingham, D., Sitter, R. R., Kelly, E., Moore, L. and Olivas, J. D. (2008). Factorial designs with multiple levels of randomization. Statistica Sinica, 18(2), 493–513.
- Bisgaard, S. (2000). The design and analysis of 2 k p x 2 q r split plot experiments. Journal of Quality Technology, 32, 39–56.
- Box, G. E. P. and Tyssedal, J. (1996). Projective properties of certain orthogonal arrays. Biometrika, 83, 950–955.
- Box, G. E. P. and Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, Series B, 13, 1–45 (with discussion).
- Butler, N. A. (2004). Construction of two-level split-lot fractional factorial designs for multistage processes. Technometrics, 46, 445–451.
- Baardseth, P., Bjerke, F., Aaby, K. and Mielnik, M. (2005). A screening experiment to identify factors causing rancidity during meat loaf production. European Food Research and Technology, 221(5), 653–661.
- Cochran, W. G. and Cox, G. M. (1957). Experimental Designs. 2nd Edition. Wiley and Sons, New York.
- Huang, P., Chen, D. and Voelkel, J. O. (1998). Minimum-aberration two-level split-plot designs. Technometrics, 40, 414–326.
- Jones, B., and Goos, P. (2009). D-optimal designs of split-split-plot experiments. Biometrika, 96, 67–82.
- Kulahci, M. (2001), Applications of Plackett and Burman Designs to Split Plot Design. Ph.D. thesis, University of Wisconsin, Madison.
- Kulahci, M. and Bisgaard S. (2005). The use of Plackett and Burman designs to construct split plot designs. Technometrics, 47, 495–501.
- Kulahci, M. and Bisgaard, S. (2006). A generalization of the alias matrix. Journal of Applied Statistic, 33(4), 387–395.
- Mardia, K. V., Kent, J. T. and Bibby, J. M. (1982). Multivariate Analysis, Academic Press Inc, London.
- McElroy, F. W. (1967). A necessary and sufficient condition that the ordinary least squares estimators be best linear unbiased. Journal of the American Statistical Association, 62, 1302–1304.
- Michaels, S. E. (1964). The usefulness of experimental designs. Journal of the Royal Statistical Society, Series C, 13, 221–235.
- Mee, R. W. and Bates, R. L. (1998). Split-lot designs: experiments for multistage batch processes. Technometrics, 40(2), 127–140.
- Myers, R. H. and Montgomery, D. C. (2002). Response Surface Methodology. Wiley & Sons, New York.
- Plackett, R. L. and Burman, J. P. (1946). The design of optimum multifactorial experiments. Biometrika, 33, 305–325.
- Paniagua-Quinones, C. and Box, G. E. P. (2008). Use of strip-strip-block design for multi-stage processes to reduce cost of experimentation. Quality Engineering, 20(1), 46–52.
- Paniagua-Quinones, C. and Box, G. E. P. (2009). A post-fractionated strip-strip-block design for multi-stage processes. Quality Engineering, 21(2), 156–167.
- Samset, O. and Tyssedal, J. (1999). Two-level designs with good projection properties. Technical Report 12, Department of Mathematical Sciences, The Norwegian University of Science and Technology, Norway.
- Tyssedal, J. and Kulahci, M. (2005). Analysis of split-plot designs with economical run sizes. Journal of Quality and Reliability Engineering International, 21(5), 539–551.
- Tyssedal, J., Kulahci, M. and Bisgaard, S. (2011). Split-plot designs with mirror image pairs as sub-plots. Journal of Statistical Planning and Inference. 141, 3686–3696.
- Yates, F. (1935). Complex experiments. Supplement to the Journal of the Royal Statistical Society, 2, 181–247.