References
- Atkinson, A. C. and Donev, A. N. (1992). Optimum Experimental Designs, Oxford Science Publications, New York.
- Baik, J. (1999). Optimization of Distance-Based Criteria for Space-Filling Designs, Thesis of North Carolina State University, Raleigh.
- Currin, C., Mitchell, T., Morris, M. and Ylvisaker, D. (1991). Bayesian prediction of deterministic functions, with applications to the design and analysis of computer experiments, Journal of the American Statistical Association, 86, 953-963. https://doi.org/10.1080/01621459.1991.10475138
- Doehlert, D. H. (1970). Uniform shell designs, Journal of the Royal Statistical Society, Series C, 19, 231-239.
- Johnson, M. E., Moore, L. M. and Ylvisaker, D. (1990). Minimax and maximin distance designs, Journal of Statistical Planning and Inference, 26, 131-148. https://doi.org/10.1016/0378-3758(90)90122-B
- Kennard, R. W. and Stone, L. A. (1969). Computer aided design of experiments, Technometrics, 11, 137-148. https://doi.org/10.1080/00401706.1969.10490666
- Kleijnen, J. P. C. (1987). Statistical Tools for Simulation Practitioners, Dekker, New York.
- Marengo, E. and Todeschini, R. (1992). A new algorithm for optimal distance-based experimental design, Chemometrics and Intelligent Laboratory Systems, 16, 37-44. https://doi.org/10.1016/0169-7439(92)80076-G
- Mitchell, T. J. (1974). An algorithm for the construction of \D-optimal" experimental designs, Technometrics, 16, 203-210.
- Nguyen, N.-K. and Miller, A. J. (1992). A review of some exchange algorithms for constructing discrete D-optimal designs, Computational Statistics & Data Analysis, 14, 489-498. https://doi.org/10.1016/0167-9473(92)90064-M
- Nychka, D., Piegorsch, W. and Cox, L. (1998). Case Studies in Environmental Statistics, Lecture Notes in Statistics, 132, Springer Verlag, New York.
- Sacks, J., Schiller, S. and Welch, W. (1989). Designs for computer experiments, Technometrics, 31, 41-47. https://doi.org/10.1080/00401706.1989.10488474
- Tobias, R. (1995). SAS QC Software. Volume 2: Usage and Reference. SAS Institute, Inc., Cary, NC.