Selecting Latin hypercubes using correlation criteria

Statistica Sinica

Volumn 8, Issue 3, 1998, Pages 965-977

  Tang, Boxin ^a,b  

^a UNIVERSITY OF MEMPHIS   (United States)

^b University of Memphis   (United States)

Author keywords

Canonical correlation; Computer experiments; Exploratory designs

Indexed keywords

EID: 0032375116     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. Iman, R. L. and Conover, W. J. (1982). A distribution-free approach to inducing rank correlation among input variables. Comm. Statist. Part B - Simulation Comput. 11, 311-334.
2. Johnson, M., Moore, L. and Ylvisaker, D. (1990). Minimax and maximin distance designs. J. Statist. Plann. Inference 26, 131-148.
3. McKay, M. D., Conover, W. J. and Beckman, R. J. (1979). A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 21, 239-245.
4. Morris, M. D. and Mitchell, T. J. (1992). Exploratory designs for computational experiments. Research Report, Oak Ridge National Laboratory.
5. Owen, A. (1994). Controlling correlations in Latin hypercube samples. J. Amer. Statist. Assoc. 89, 1517-1522.
6. Patterson, H. D. (1954). The errors of lattice sampling. J. Roy. Statist. Soc. Ser. B 16, 140-149.
7. Tang, B. (1993). OA-based Latin hypercubes. J. Amer. Statist. Assoc. 88, 1392-1397.
8. Tang, B. (1994). A theorem for selecting OA-based Latin hypercubes using a distance criterion. Comm. Statist. Theory Methods 23, 2047-2058.
9. Welch, W. J., Buck, R. J., Sacks, J., Wynn, H. P., Mitchell, T. J. and Morris, M. D. (1992). Screening, predicting, and computer experiments. Technometrics 34, 15-25.