References
- Andere-Rendon , J. , Montgomery , D.C. and Rollier , D.A. 1997 . Design of Mixture Experiments Using Bayesian D-Optimality . Journal of Quality Technology , 29 : 451 – 463 .
- Box , G.E.P. and Meyer , R.D. 1993 . Finding the Active factors in Fractionated Screening Experiments . Journal of Quality Technology , 25 : 94 – 105 .
- Cook , R.D. and Nachtsheim , C.J. 1980 . A Comparison of Algorithms for Constructing Exact D-optimal Designs . Technometrics , 22 : 315 – 324 .
- Cornell , J.A. 1990 . Experiments with Mixtures: Designs, Models and Analysis of Mixture Data , New York, NY : John Wiley & Sons, Inc .
- DuMouchel , W. and Jones , B. 1994 . A simple Bayesian Modification of D-optimal Designs to reduce Dependence on an Assumed Model . Technometrics , 36 : 37 – 47 .
- Fedorov , V.V. 1972 . Theory ofOptimal Experiments , New York, NY : Academic Press .
- Letsinge , W.C. 1995 . “ Optimal One and Two-stage Designs for the Logistic Regression Mode ” . In Ph.D. Thesis , Virginia Tech .
- Myers , R.H. and Montgomery , D.C. 1995 . Response Surface Methodology: Process and Product Optimization Using Designed Experiments , New York : John Wiley & Sons. Inc .
- Myers , W.R. , Myers , R.H. , Carter , W.H. and White , K.L. 1996 . Two Stage Designs for the Logistic Regression Model in Singer Agent Bioassays . Journal of Biopharmaceutical Statistics , 9 : 121 – 128 .
- Neff , A.R. 1996 . “ Bayesian Two Stage Design Under Model Uncertainty ” . In Ph.D. Thesis , Virginia Tech .
- SAS Institute, Inc . 1996 . “ SAS/QC Software: Usage and Reference, Version 6 ” . Vol. 1and 2 , Cary, NC : SAS Institute Inc .
- Scheffe , H. 1958 . Experiments with Mixtures . Journal of the Royal Statistical Society , 20 : 344 – 366 . Series
- Scheffe , H. 1959 . Reply to Mr. Quenouille’s Comments About my Paper on Mixtures . Journal ofthe Royal Statistical Society , B, 23 : 171 – 172 . Series
- Scheffe , H. 1965 . The Simplex-Centroid Design for Experiments with Mixtures . Journal ofthe Royal Statistical Society , B, 25 : 235 – 263 .