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DOE/Opt: a system for design of experiments, response surface modeling, and optimization using process and device simulation
8 references·1 citing·29 second hop
DOE/Opt: a system for design of experiments, response surface modeling, and optimization using process and device simulation (1994)DOE/Opt: a system for design of experimen…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…On the Experimental Attainment of Optimum Conditions (1992)On the Experimental Attainmen…Quality Engineering through Design Optimization (1989)Quality Engineering through D…Empirical Model-Building and Response Surfaces. (1988)Empirical Model-Building and …Introduction to Quality Engineering: Designing Quality into Products and Processes (1986)Introduction to Quality Engin…Fortran 77 program and user's guide for the generation of Latin hypercube and random samples for use with computer models (1984)Fortran 77 program and user's…Statistics for Experimenters (1979)Statistics for ExperimentersA Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods…Excellence in Design (2008)Excellence in DesignStatistics for experimenters. An introduction to design, data analysis, and model building. (1978)Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building. (1979)Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios (1987)Optimization of product and process design for quality and cost (1988)Performance Measures Independent of Adjustment: an Explanation and Extension of Taguchi’s Signal-To-Noise Ratios (1989)Fundamental Concepts in the Design of Experiments (2000)Design Rules, Volume 1: The Power of Modularity (2001)Taguchi's quality engineering handbook (2006)Design of Experiments (1936)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Some New Three Level Designs for the Study of Quantitative Variables (1960)Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation (1962)Response surface methodology (2010)An Efficient Sampling Technique for Off-Line Quality Control (1997)Uncertainty Analysis of Transport-Transformation Models (1999)Overview of Modern Design of Experiments Methods for Computational Simulations (Invited) (2003)Empirical Model Building and Response Surfaces (1988)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Combining Taguchi and Response Surface Philosophies: A Dual Response Approach (1990)Dual Response Surface Optimization (1995)The effects of psychological therapies under clinically representative conditions: A meta-analysis. (2000)Signal-to-Noise Ratios, Performance Criteria, and Transformations (1988)Economical Experimentation Methods for Robust Design (1991)AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN (1992)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)
this work references cited by second hop

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1979Statistics for Experimenters6,750 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 1992On the Experimental Attainment of Optimum Conditions3,451 cited
  • 1986Introduction to Quality Engineering: Designing Quality into Products and Processes1,155 cited
  • 1988Empirical Model-Building and Response Surfaces.717 cited
  • 1984Fortran 77 program and user's guide for the generation of Latin hypercube and random samples for use with computer models354 cited
  • 1989Quality Engineering through Design Optimization290 cited

Cited by

  • 2008Excellence in Design1 cited

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