Designs for Computer Experiments

REFERENCES

• Box , G. E. P. and Draper , N. R. 1959 . “A Basis for the Selection of a Response Surface Design,” . Journal of the American Statistical Association , 54 : 622 – 654 .
   Web of Science ®Google Scholar
• Box , G. E. P. and Draper , N. R. 1963 . “The Choice of a Second Order Rotatable Design,” . Biometrika , 50 : 335 – 352 .
   Web of Science ®Google Scholar
• Box , G. E. P. and Hunter , J. S. 1957 . “Multi-Factor Experimental Designs for Exploring Response Surfaces,” . The Annals of Mathematical Statistics , 28 : 195 – 241 .
   Google Scholar
• Cressie , N. 1986 . “Kriging Nonstationary Data,” . Journal of the American Statistical Association , 81 : 625 – 634 .
   Web of Science ®Google Scholar
• Currin , C. , Mitchell , T. , Morris , M. and Ylvisaker , D. 1988 . “A Bayesian Approach to the Design and Analysis of Computer Experiments,” Oak Ridge , TN : Oak Ridge National Laboratory. . Technical Report 6498, (available from National Technical Information Service, Springfield, VA 22161)
   Google Scholar
• Diaconis , P. 1988 . “Bayesian Numerical Analysis,”. ” . In Statistical Decision Theory and Related Topics IV Edited by: Gupta , S. S. and Berger , J. O. Vol. 1 , 163 – 175 . New York : Springer-Verlag. .
   Google Scholar
• Iman , R. L. and Conover , W. J. 1980 . “Small Sample Sensitivity Analysis Techniques for Computer Models, With an Application to Risk Assessment” . Communications in Statistics, Part A–heory and Methods , 9 : 1749 – 1874 . (with discussion)
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Miller , D. and Frenklach , M. 1983 . “Sensitivity Analysis and Parameter Estimation in Dynamic Modeling of Chemical Kinetics,” . International Journal of Chemical Kinetics , 15 : 677 – 696 .
   Web of Science ®Google Scholar
• Mitchell , T. , Morris , M. and Ylvisaker , D. 1988 . “Existence of Smoothed Stationary Processes on an Interval,” unpublished manuscript
   Google Scholar
• Parzen , E. “Statistical Inference on Time Series by Hilbert Space Methods I,” . Time Series Analysis Papers by Emanuel Parzen . pp. 251 – 382 . San Francisco : Holden-Day. .
   Google Scholar
• Phadke , M. S. 1986 . “Design Optimization Case Studies,” . AT&T Technical Journal , 65 : 51 – 68 .
   Web of Science ®Google Scholar
• Ripley , B. D. 1981 . Spatial Statistics New York : John Wiley. .
   Google Scholar
• Sacks , J. and Schiller , S. 1988 . “Spatial Designs,”. ” . In Statistical Decision Theory and Related Topics IV Edited by: Gupta , S. S. and Berger , J. O. Vol. 2 , 385 – 399 . New York : Springer Verlag. .
   Google Scholar
• Sacks , J. and Ylvisaker , D. 1966 . “Designs for Regression Problems With Correlated Errors,” . The Annals of Mathematical Statistics , 37 : 66 – 89 .
   Google Scholar
• Sacks , J. and Ylvisaker , D. “Statistical Designs and Integral Approximation,” . Proceedings of the 12th Biennial Seminar of the Canadian Mathematical Congress . Edited by: Pyke , R. pp. 115 – 136 . Montreal : Canadian Mathematical Congress. .
   Google Scholar
• Sacks , J. and Ylvisaker , D. 1984 . “Some Model Robust Designs in Regression,” . The Annals of Statistics , 12 : 1324 – 1348 .
   Web of Science ®Google Scholar
• Sacks , J. and Ylvisaker , D. “Model Robust Design in Regression: Bayes Theory,” . Proceedings of the Berkeley Conference in Honor of Jerzy Neyman and Jack Kiefer . Edited by: Le Cam , L. M. and Olshen , R. A. Vol. 2 , pp. 667 – 679 . Monterey , CA : Wadsworth. .
   Google Scholar
• Shewry , M. C. and Wynn , H. P. 1987 . “Maximum Entropy Sampling,” . Journal of Applied Statistics , 14 : 165 – 170 .
   Google Scholar
• Speckman , P. L. 1976 . “Approximation of Autoregressive Gaussian Processes,” University of California, Los Angeles, Dept. of Mathematics. . unpublished thesis
   Google Scholar
• Stein , M. 1987 . “Large Sample Properties of Simulations Using Latin Hypercube Sampling,” . Technometrics , 29 : 143 – 151 .
   Web of Science ®Google Scholar
• Suldin , A. V. 1959 . “Wiener Measure and Its Applications to Approximation Methods, I,” . Izvestiia Vysshikh Uchebnykh Zavedenii Matematika , 6 ( 13 ) : 145 – 158 .
   Google Scholar
• Suldin , A. V. 1960 . “Wiener Measure and Its Applications to Approximation Methods, II,” . Izvestiia Vysshikh Uchebnykh Zavedenii Matematika , 5 ( 18 ) : 165 – 179 .
   Google Scholar
• Welch , W. J. 1983 . “A Mean Squared Error Criterion for the Design of Experiments,” . Biometrika , 70 : 205 – 213 .
   Web of Science ®Google Scholar
• Welch , W. J. , Yu , T. K. , Kang , S. M. and Sacks , J. 1988 . “Computer Experiments for Quality Control by Parameter Design,” University of Illinois, Dept. of Statistics. . Technical Report 4
   Google Scholar
• Ylvisaker , D. 1975 . “Designs on Random Fields,”. ” . In A Survey of Statistical Design and Linear Models Edited by: Srivastava , J. N. 593 – 607 . Amsterdam : North-Holland. .
   Google Scholar
• Ylvisaker , D. 1987 . “Prediction and Design,” . The Annals of Statistics , 15 : 1 – 19 .
   Web of Science ®Google Scholar