Bayesian D-optimal supersaturated designs

[1]  G. Vining,et al.  Statistical Process Monitoring and Optimization , 2000 .

[2]  William Li,et al.  Model-Robust Factorial Designs , 2000, Technometrics.

[3]  Dennis K. J. Lin,et al.  On the construction of multi-level supersaturated designs , 2000 .

[4]  David M. Steinberg,et al.  Minimum aberration and model robustness for two‐level fractional factorial designs , 1999 .

[5]  Dennis K. J. Lin,et al.  On the identifiability of a supersaturated design , 1998 .

[6]  William Li,et al.  Columnwise-pairwise algorithms with applications to the construction of supersaturated designs , 1997 .

[7]  Nam-Ky Nguyen.  An algorithmic approach to constructing supersaturated designs , 1996 .

[8]  K. Chaloner,et al.  Bayesian Experimental Design: A Review , 1995 .

[9]  Dennis K. J. Lin.  Generating Systematic Supersaturated Designs , 1995 .

[10]  R. K. Meyer,et al.  The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs , 1995 .

[11]  W. DuMouchel,et al.  A simple Bayesian modification of D-optimal designs to reduce dependence on an assumed model , 1994 .

[12]  Dennis K. J. Lin,et al.  A new class of supersaturated designs , 1993 .

[13]  A. Atkinson,et al.  Optimum experimental design for discriminating between two rival models in the presence of prior information , 1991 .

[14]  Christopher J. Nachtsheim,et al.  Model Robust, Linear-Optimal Designs , 1982 .

[15]  E. Läuter,et al.  Optimal multipurpose designs for regression models , 1976 .

[16]  K. H. Booth,et al.  Some Systematic Supersaturated Designs , 1962 .

[17]  F. E. Satterthwaite.  Random Balance Experimentation , 1959 .

[18]  D. Lindley.  On a Measure of the Information Provided by an Experiment , 1956 .

[19]  R. Plackett,et al.  THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS , 1946 .