References
- Arnouts, H., and P. Goos. 2012. Staggered-level designs for experiments with more than one hard-to-change factor. Technometrics 54 (4):355–66. doi:10.1080/00401706.2012.715834.
- Arnouts, H., and P. Goos. 2015. Staggered-level designs for response surface modeling. Journal of Quality Technology 47 (2):156–75. doi:10.1080/00224065.2015.11918122.
- Arnouts, H., and P. Goos. 2017. Analyzing ordinal data from a split-plot design in the presence of a random block effect. Quality Engineering 29 (4):553–62. doi:10.1080/08982112.2017.1303069.
- Bingham, D. R., E. D. Schoen, and R. R. Sitter. 2004. Designing fractional factorial split-plot experiments with few whole-plot factors. Journal of the Royal Statistical Society Series C: Applied Statistics 54 (5): 325–339. doi:10.1111/j.1467-9876.2005.00523_1.x.
- Bingham, D., and R. R. Sitter. 1999. Minimum-aberration two-level fractional factorial split-plot designs. Technometrics 41 (1):62–70. doi:10.1080/00401706.1999.10485596.
- Gilmour, S. G., and P. Goos. 2009. Analysis of data from non-orthogonal multistratum designs in industrial experiments. Journal of the Royal Statistical Society Series C: Applied Statistics 58 (4):467–84. doi:10.1111/j.1467-9876.2009.00662.x.
- Goos, P., and B. Jones. 2011. Optimal design of experiments: A case study approach. New York: Wiley.
- Goos, P., and M. Vandebroek. 2001. Optimal split-plot designs. Journal of Quality Technology 33 (4):436–50. doi:10.1080/00224065.2001.11980103.
- Goos, P., and M. Vandebroek. 2004. Outperforming completely randomized designs. Journal of Quality Technology 36 (1):12–26. doi:10.1080/00224065.2004.11980249.
- Goos, P., and M. Vandebroek. 2003. D-optimal split-plot designs with given numbers and sizes of whole plots. Technometrics 45 (3):235–45. doi:10.1198/004017003000000050.
- Goos, P., I. Langhans, and M. Vandebroek. 2006. Practical inference from industrial split-plot designs. Journal of Quality Technology 38 (2):162–79. doi:10.1080/00224065.2006.11918603.
- Huang, P., D. Chen, and J. Voelkel. 1998. Minimum-aberration two-level split-plot designs. Technometrics 40 (4):314–26. doi:10.1080/00401706.1998.10485560.
- Jones, B. 2021. The prediction profiler at 30. Quality Engineering 33 (3):417–24. doi:10.1080/08982112.2021.1874015.
- Jones, B., and C. J. Nachtsheim. 2009. Split-plot designs: What, why, and how. Journal of Quality Technology 41 (4):340–61. doi:10.1080/00224065.2009.11917790.
- Jones, B., and P. Goos. 2007. A candidate-set-free algorithm for generating D-optimal split-plot designs. Journal of the Royal Statistical Society. Series C, Applied Statistics 56 (3):347–64. doi:10.1111/j.1467-9876.2007.00581.x.
- Jones, B., and P. Goos. 2009. D-optimal design of split-split-plot experiments. Biometrika 96 (1):67–82. doi:10.1093/biomet/asn070.
- Jones, B., and P. Goos. 2012a. An algorithm for finding D-efficient equivalent-estimation second-order split-plot designs. Journal of Quality Technology 44 (4):363–74. doi:10.1080/00224065.2012.11917906.
- Jones, B., and P. Goos. 2012b. I-optimal versus D-optimal split-plot resonse surface designs. Journal of Quality Technology 44 (2):85–101. doi:10.1080/00224065.2012.11917886.
- Jones, B., K. Allen-Moyer, and P. Goos. 2021. A-optimal versus D-optimal design of screening experiments. Journal of Quality Technology 53 (4):369–82. doi:10.1080/00224065.2020.1757391.
- Kulahci, M., and S. Bisgaard. 2005. The use of Plackett and Burman designs to construct split-plot designs. Technometrics 47 (4):495–501. doi:10.1198/004017005000000427.
- Letsinger, J. D., R. H. Myers, and M. Lentner. 1996. Response surface methods for bi-randomization structures. Journal of Quality Technology 28 (4):381–97. doi:10.1080/00224065.1996.11979697.
- Lin, C.-Y. 2019. Supersaturated multistratum designs. Journal of Quality Technology 51 (4):325–37. doi:10.1080/00224065.2018.1507222.
- Macharia, H., and P. Goos. 2010. D-optimal and D-efficient equivalent-estimation second-order split-plot designs. Journal of Quality Technology 42 (4):358–72. doi:10.1080/00224065.2010.11917833.
- McLeod, R. G., and J. F. Brewster. 2004. The design of blocked fractional factorial split-plot experiments. Technometrics 46 (2):135–46. doi:10.1198/004017004000000176.
- Meyer, R. K., and C. J. Nachtsheim. 1995. The coordinate-exchange algorithm for constructing exact optimal experimental designs. Technometrics 37 (1):60–9. doi:10.1080/00401706.1995.10485889.
- Mylona, Gilmour and Goos. 2017. Optimal Blocked and Split-Plot Designs Ensuring Precise Pure-Error Estimation of the Variance Components. Technometrics 62 (1):57–70. doi:10.1080/00401706.2019.1595153.
- Mylona, K., P. Goos, and B. Jones. 2014. Optimal design of blocked and split-plot experiments for fixed effects and variance component estimation. Technometrics 56 (2):132–44. doi:10.1080/00401706.2013.818579.
- Nguyen, N.-K., and T.-D. Pham. 2015. Searching for D-efficient equivalent-estimation second-order split-plot designs. Journal of Quality Technology 47 (1):54–65. doi:10.1080/00224065.2015.11918106.
- Palhazi Cuervo, D., P. Goos, and K. Sörensen. 2016. Optimal design of large-scale screening experiments: A critical look at the coordinate-exchange algorithm. Statistics and Computing 26 (1-2):15–28. doi:10.1007/s11222-014-9467-z.
- Parker, P. A., S. M. Kowalski, and G. G. Vining. 2006. Classes of split-plot response surface designs for equivalent estimation. Quality and Reliability Engineering International 22 (3):291–305. doi:10.1002/qre.771.
- Parker, P. A., S. M. Kowalski, and G. G. Vining. 2007a. Construction of balanced equivalent estimation second-order split-plot designs. Technometrics 49 (1):56–65. doi:10.1198/004017006000000462.
- Parker, P. A., S. M. Kowalski, and G. G. Vining. 2007b. Unbalanced and minimal point equivalent estimation second-order split-plot designs. Journal of Quality Technology 39 (4):376–88. doi:10.1080/00224065.2007.11917703.
- Sartono, B., P. Goos, and E. Schoen. 2015. Constructing general orthogonal fractional factorial split-plot designs. Technometrics 57 (4):488–502. doi:10.1080/00401706.2014.958198.
- Schoen, E. D. 1999. Designing fractional two-level experiments with nested error structures. Journal of Applied Statistics 26 (4):495–508. doi:10.1080/02664769922377.
- Trinca, L. A., and S. G. Gilmour. 2001. Multi-stratum response surface designs. Technometrics 43 (1):25–33. doi:10.1198/00401700152404291.
- Trinca, L. A., and S. G. Gilmour. 2015. Improved split-plot and multistratum designs. Technometrics 57 (2):145–54. doi:10.1080/00401706.2014.915235.
- Trinca, L. A., and S. G. Gilmour. 2017. Split-plot and multi-stratum designs for statistical inference. Technometrics 59 (4):446–57. doi:10.1080/00401706.2017.1316315.
- Vining, G. G., S. M. Kowalski, and D. C. Montgomery. 2005. Response surface designs within a split-plot structure. Journal of Quality Technology 37 (2):115–29. doi:10.1080/00224065.2005.11980310.
- Wang, L., S. M. Kowalski, and G. G. Vining. 2009. Orthogonal blocking of response surface split-plot designs. Journal of Applied Statistics 36 (3):303–21. doi:10.1080/02664760802444002.
- Webb, D. F., J. M. Lucas, and J. J. Borkowski. 2004. Factorial experiments when factor levels are not necessarily reset. Journal of Quality Technology 36 (1):1–11. doi:10.1080/00224065.2004.11980248.