Response Surface Methodology--Current Status and Future Directions

This paper is a reflection on where response surface methodology (RSM) is at this point and what will likely be future directions. The emphasis in the last two decades on robust parameter design has brought attention to RSM as an alternative methodology..

[1]  A. Hedayat,et al.  An Introduction to Design Optimality with an Overview of the Literature. , 1978 .

[2]  André I. Khuri,et al.  Response surface methodology: 1966–1988 , 1989 .

[3]  A. Khuri,et al.  Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions , 1981 .

[4]  S. Zeger,et al.  Longitudinal data analysis using generalized linear models , 1986 .

[5]  R Mead,et al.  A review of response surface methodology from a biometric viewpoint. , 1975, Biometrics.

[6]  Stephen Jones,et al.  Split-plot designs for robust product experimentation , 1992 .

[7]  S. Minkin,et al.  Experimental Design for Clonogenic Assays in Chemotherapy , 1993 .

[8]  G. Box The Exploration and Exploitation of Response Surfaces: Some General Considerations and Examples , 1954 .

[9]  William J. Hill,et al.  A Review of Response Surface Methodology: A Literature Survey* , 1966 .

[10]  H. L. Lucas,et al.  DESIGN OF EXPERIMENTS IN NON-LINEAR SITUATIONS , 1959 .

[11]  R. H. Myers,et al.  A TUTORIAL ON GENERALIZED LINEAR MODELS , 1997 .

[12]  G. Box,et al.  A Basis for the Selection of a Response Surface Design , 1959 .

[13]  R. Sitter Robust designs for binary data , 1992 .

[14]  Raymond H. Myers,et al.  Response Surface Methods and the Use of Noise Variables , 1997 .

[15]  G. Vining,et al.  Response Surfaces for the Mean and Variance Using a Nonparametric Approach , 1998 .

[16]  Douglas C. Montgomery,et al.  A Nonlinear Programming Solution to the Dual Response Problem , 1993 .

[17]  J. S. Hunter,et al.  Multi-Factor Experimental Designs for Exploring Response Surfaces , 1957 .

[18]  G. Geoffrey Vining,et al.  EXPERIMENTAL DESIGNS FOR ESTIMATING BOTH MEAN AND VARIANCE FUNCTIONS , 1996 .

[19]  George E. P. Box,et al.  A CONFIDENCE REGION FOR THE SOLUTION OF A SET OF SIMULTANEOUS EQUATIONS WITH AN APPLICATION TO EXPERIMENTAL DESIGN , 1954 .

[20]  Wanzhu Tu,et al.  Dual response surface optimization , 1995 .

[21]  J. Kiefer Optimal design: Variation in structure and performance under change of criterion , 1975 .

[22]  Khidir M. Abdelbasit,et al.  Experimental Design for Binary Data , 1983 .

[23]  G. Box,et al.  THE CHOICE OF A SECOND ORDER ROTATABLE DESIGN , 1963 .

[24]  G. Box MULTI-FACTOR DESIGNS OF FIRST ORDER , 1952 .

[25]  K Y Liang,et al.  Longitudinal data analysis for discrete and continuous outcomes. , 1986, Biometrics.

[26]  G. Geoffrey Vining,et al.  Combining Taguchi and Response Surface Philosophies: A Dual Response Approach , 1990 .

[27]  S. Bisgaard,et al.  QUALITY QUANDARIES∗ : Analysis of Factorial Experiments with Defects or Defectives as the Response , 1994 .

[28]  Raymond H. Myers,et al.  Response Surface Methods for Bi-Randomization Structures , 1996 .

[29]  R. H. Myers,et al.  Response Surface Alternatives to the Taguchi Robust Parameter Design Approach , 1992 .

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

[31]  G. Derringer,et al.  Simultaneous Optimization of Several Response Variables , 1980 .

[32]  J. Nelder,et al.  Generalized Linear Models for Quality-Improvement Experiments , 1997 .

[33]  J. Cornell Analyzing Data from Mixture Experiments Containing Process Variables: A Split-Plot Approach , 1988 .

[34]  K. Chaloner,et al.  Optimal Bayesian design applied to logistic regression experiments , 1989 .

[35]  Douglas C. Montgomery,et al.  Design of Mixture Experiments Using Bayesian D-Optimality , 1997 .

[36]  A. John Bailer,et al.  Statistical analysis of the Ceriodaphnia toxicity test: Sample size determination for reproductive effects , 1993 .

[37]  James M. Lucas,et al.  How to Achieve a Robust Process Using Response Surface Methodology , 1994 .

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

[39]  A. Atkinson Developments in the Design of Experiments, Correspondent Paper , 1982 .