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Evaluation of Statistical Designs for Experiments Involving Noise Variables
16 references·6 citing·30 second hop
Evaluation of Statistical Designs for Experiments Involving Noise Variables (2002)Evaluation of Statistical Designs for Exp…Introduction to quality engineering.... (2014)Introduction to quality engin…Response Surface Methodology—Current Status and Future Directions (1999)Response Surface Methodology—…Design and Analysis of Experiments (1998)Design and Analysis of Experi…Response Surfaces: Designs and Analyses (1997)Response Surfaces: Designs an…Response Surface Methodology (1996)Response Surface MethodologyA Nonlinear Programming Solution to the Dual Response Problem (1993)A Nonlinear Programming Solut…Taguchi's Parameter Design: A Panel Discussion (1992)Taguchi's Parameter Design: A…Response Surface Alternatives to the Taguchi Robust Parameter Design Approach (1992)Response Surface Alternatives…Economical Experimentation Methods for Robust Design (1991)Economical Experimentation Me…Computer Experiments for Quality Control by Parameter Design (1990)Computer Experiments for Qual…Combining Taguchi and Response Surface Philosophies: A Dual Response Approach (1990)Combining Taguchi and Respons…Response Surface Methodology: 1966-1988 (1989)Response Surface Methodology:…Signal-to-Noise Ratios, Performance Criteria, and Transformations (1988)Signal-to-Noise Ratios, Perfo…Empirical Model Building and Response Surfaces (1988)Empirical Model Building and …Statistics for Experimenters (1979)Statistics for ExperimentersApplications of Statistics to Industrial Experimentation (1976)Applications of Statistics to…Generating and Assessing Exact G -Optimal Designs (2010)Generating and Assessing Exac…Using Genetic Algorithms to Generate Mixture-Process Experimental Designs Involving Control and Noise Variables (2005)Using Genetic Algorithms to G…Integration of customer and designer preferences in robust design (2005)Integration of customer and d…Two Approaches for Improving the Dual Response Method in Robust Parameter Design (2004)Two Approaches for Improving …Three-Dimensional Variance Dispersion Graphs for Mixture-Process Experiments (2004)Three-Dimensional Variance Di…Fraction of Design Space Plots for Assessing Mixture and Mixture-Process Designs (2004)Fraction of Design Space Plot…Some New Three Level Designs for the Study of Quantitative Variables (1960)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1985)Empirical Model-Building and Response Surfaces. (1988)AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN (1992)Dual Response Surface Optimization (1995)Design and Analysis of Computer Experiments (1989)A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Response Surface Methodology: A Retrospective and Literature Survey (2004)The Taguchi methodology as a statistical tool for biotechnological applications: A critical appraisal (2008)Simultaneous Optimization of Several Response Variables (1980)Designing Environmental Field Studies (1991)Optimization via simulation: A review (1994)Experimental design and response surface methodology in energy applications: A tutorial review (2017)Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)A new look at the response surface approach for reliability analysis (1993)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)On the Experimental Attainment of Optimum Conditions (1951)STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING (1993)Efficient estimation of conditional variance functions in stochastic regression (1998)Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building. (1979)One-Factor-at-a-Time versus Designed Experiments (1999)Research Issues and Ideas in Statistical Process Control (1999)Identification and Review of Sensitivity Analysis Methods (2002)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data (2014)Response surface methodology (2010)A method for constructing supersaturated designs and its Es2 optimality (1997)Decision-making techniques in supplier selection: Recent accomplishments and what lies ahead (2019)
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References

  • 1979Statistics for Experimenters6,750 cited
  • 1988Empirical Model Building and Response Surfaces5,235 cited
  • 1996Response Surface Methodology3,819 cited
  • 1998Design and Analysis of Experiments1,877 cited
  • 1997Response Surfaces: Designs and Analyses1,520 cited
  • 1992Taguchi's Parameter Design: A Panel Discussion714 cited
  • 1990Combining Taguchi and Response Surface Philosophies: A Dual Response Approach653 cited
  • 2014Introduction to quality engineering....641 cited
  • 1988Signal-to-Noise Ratios, Performance Criteria, and Transformations606 cited
  • 1989Response Surface Methodology: 1966-1988594 cited
  • 1990Computer Experiments for Quality Control by Parameter Design368 cited
  • 1976Applications of Statistics to Industrial Experimentation357 cited
  • 1992Response Surface Alternatives to the Taguchi Robust Parameter Design Approach335 cited
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  • 1993A Nonlinear Programming Solution to the Dual Response Problem300 cited
  • 1999Response Surface Methodology—Current Status and Future Directions

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288 cited

Cited by

  • 2004Fraction of Design Space Plots for Assessing Mixture and Mixture-Process Designs54 cited
  • 2010Generating and Assessing Exact G -Optimal Designs42 cited
  • 2004Two Approaches for Improving the Dual Response Method in Robust Parameter Design42 cited
  • 2005Using Genetic Algorithms to Generate Mixture-Process Experimental Designs Involving Control and Noise Variables36 cited
  • 2004Three-Dimensional Variance Dispersion Graphs for Mixture-Process Experiments34 cited
  • 2005Integration of customer and designer preferences in robust design7 cited