Optimal Latin-hypercube designs for computer experiments

Bernardo, 1992, A sequential statistical strategy for optimizing circuit design, IEEE Trans. on Computer-Aided-Design of Integrated Circuit and System, 11, 10.1109/43.124423

Cox, 1989, Updatable computations for best linear unbiased predictors, 34

Cox, 1991, Tuning complex computer code to data, 266

Currin, 1991, Bayesian prediction of deterministic functions, with applications to the design and analysis of computer experiments, J. Amer. Statist. Assoc., 86, 953, 10.2307/2290511

Iman, 1980, Small sample sensitivity analysis techniques for computer models, with an application to risk assessment, Comm. Statist., A9, 1749, 10.1080/03610928008827996

Johnson, 1990, Minimax and maximin distance designs, J. Statist. Plann. Inference, 26, 131, 10.1016/0378-3758(90)90122-B

McKay, 1979, A comparison of three methods for selecting values of input variables in the analysis of output from a computer code, Technometrics, 21, 239, 10.2307/1268522

Owen, 1992, A central limit theorem for Latin hypercube sampling, J. Roy. Statist. Soc. Ser., B

Sacks, 1988, Spatial designs, Vol. 2, 385

Sacks, 1989, Designs for computer experiments, Technometrics, 31, 41, 10.2307/1270363

Sacks, 1989, Design and analysis of computer experiments, Statist. Sci., 4, 409, 10.1214/ss/1177012413

Shewry, 1987, Maximum entropy sampling, J. Appl. Statist., 14, 165, 10.1080/02664768700000020

Stein, 1987, Large sample properties of simulations using Latin hypercube sampling, Technometrics, 29, 143, 10.2307/1269769

Welch, 1992, Screening, predicting, and computer experiments, Technometrics, 34, 15, 10.2307/1269548

Welch, 1990, Computer experiments for quality control by parameter design, J. Quality Technol., 22, 15, 10.1080/00224065.1990.11979201