Comments on Computer Experiments

REFERENCES

• Anbari , F. T. and Lucas , J. M. “Super Efficient Designs,” . ASQC 48th Annual Quality Congress Proceedings . pp. 852 – 863 . Milwaukee : ASQC. .
   Google Scholar
• Coleman , D. E. and Montgomery , D. C. 1993 . “A Systematic Approach to Planning for a Designed Industrial Experiment,” . Technometrics , 35 : 1 – 12 .
   Web of Science ®Google Scholar
• Crosier , R. B. 1991 . “Some New Three-Level Response Surface Designs,” 21010 – 5423 . Aberdeen Proving Ground , MD : U.S. Army Chemical Research Development and Engineering Center. . CRDEC-TR-308
   Google Scholar
• Crosier , R. B. 1993a . “Symmetrical Orientation for Simplex Designs,” 21010 – 5423 . Aberdeen Proving Ground , MD : Edgewood Research Development and Engineering Center. . ERDEC-TR-091
   Google Scholar
• Crosier , R. B. 1993b . “Method for Design Rotation,” 21010 – 5423 . Aberdeen Proving Ground , MD : Edgewood Research Development and Engineering Center. . ERDEC-TR-099
   Google Scholar
• Currin , C. , Mitchell , T. J. , Morris , M. D. 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 .
   Web of Science ®Google Scholar
• DuMouchel , W. and Jones , B. 1994 . “A Simple Bayesian Modification of D-Optimal Designs to Reduce Dependence on an Assumed Model,” . Technometrics , 36 : 37 – 7 .
   Web of Science ®Google Scholar
• Easterling , R. G. 1989 . Comment on “Design and Analysis of Computer Experiments,” . Statistical Science , 4 : 425 – 127 . by J. Sacks, W. J. Welch, T. J. Mitchell, and H. P. Wynn
   Google Scholar
• Lucas , J. M. 1976 . “Which Response Surface Design is Best,” . Technometrics , 18 : 411 – 417 .
   Web of Science ®Google Scholar
• Lucas , J. M. 1978 . Discussion of “D-Optimal Fractions of Three-Level Factorial Designs,” . Technometrics , 20 : 381 – 382 . by T. J. Mitchell and C. K. Bayne
   Google Scholar
• Lucas , J. M. “Achieving a Robust Process Using Response Surface Methodology,” . Proceedings of the Sesquicentennial Invited Paper Sessions, American Statistical Association . pp. 579 – 593 .
   Google Scholar
• Lucas , J. M. 1990 . “Letter to the Editor: Comments on Cook and Nachtsheim,” . Technometrics , 32 : 363 – 364 .
   Google Scholar
• Lucas , J. M. 1994 . “How to Achieve a Robust Process Using Response Surface Methodology,” . Journal of Quality Technology , 26 : 248 – 260 .
   Web of Science ®Google Scholar
• Morris , M. D. , Mitchell , T. J. and Ylvisaker , D. 1993 . “Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction,” . Technometrics , 35 : 243 – 255 .
   Web of Science ®Google Scholar
• Sacks , J. , Schiller , S. B. and Welch , W. J. 1989 . “Designs for Computer Experiments,” . Technometrics , 31 : 41 – 47 .
   Web of Science ®Google Scholar
• Sacks , J. , Welch , W. J. , Mitchell , T. J. and Wynn , H. P. 1989 . “Design and Analysis of Computer Experiments,” with discussion . Statistical Science , 4 : 409 – 435 .
   Google Scholar
• Welch , W. J. , Yu , T. K. , Kang , S. M. and Sacks , J. 1990 . “Computer Experiments for Quality Control by Parameter Design,” . Journal of Quality Technology , 22 : 15 – 22 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar