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Modeling and analysis of dynamic robust design experiments
12 references·2 citing·36 second hop
Modeling and analysis of dynamic robust design experiments (1999)Modeling and analysis of dynamic robust d…Analysis of dynamic robust design experiments (1997)Analysis of dynamic robust de…Parameter design for signal-response systems: a different look at Taguchi's dynamic parameter design (1996)Parameter design for signal-r…A critical look at Taguchi's modelling approach for robust design (1996)A critical look at Taguchi's …Dispersion Effects in Robust-Design Experiments with Noise Factors (1994)Dispersion Effects in Robust-…Response model analysis for robust design experiments (1993)Response model analysis for r…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…Analysis of Designed Experiments with Complex Aliasing (1992)Analysis of Designed Experime…Economical Experimentation Methods for Robust Design (1991)Economical Experimentation Me…Quality Engineering Using Robust Design (1990)Quality Engineering Using Rob…Introduction to Quality Engineering: Designing Quality Into Products and Processes (1989)Introduction to Quality Engin…Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios (1987)Performance Measures Independ…Bayesian Modeling and Optimization of Functional Responses Affected by Noise Factors (2012)Bayesian Modeling and Optimiz…Robust design of nonlinear multiple dynamic quality characteristics (2008)Robust design of nonlinear mu…Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments (1959)Joint Estimation of Location, Dispersion, and Random Effects in Robust Design (1998)Modeling and Analysis of Dynamic Robust Design Experiments (2001)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Applications of Statistics to Industrial Experimentation (1976)Statistics for Experimenters (1979)AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN (1992)A Bayesian Variable-Selection Approach for Analyzing Designed Experiments With Complex Aliasing (1997)Blind Kriging: A New Method for Developing Metamodels (2008)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)Quality Engineering Using Robust Design (1991)Analysis of Functional Responses from Robust Design Studies (2002)GLMs for the Analysis of Robust Designs with Dynamic Characteristics (2003)On the Experimental Attainment of Optimum Conditions (1951)Empirical Model Building and Response Surfaces (1988)A Nonlinear Programming Solution to the Dual Response Problem (1993)Response Surface Methodology (1996)Response Surface Methodology—Current Status and Future Directions (1999)Introduction to Quality Engineering: Designing Quality into Products and Processes (1986)A Catalogue of Two-Level and Three-Level Fractional Factorial Designs with Small Runs (1993)Robust Parameter Design: A Review (2003)Response surface design evaluation and comparison (2008)An Overview of the Strategy and Tactics of Taguchi (1988)How to Achieve a Robust Process Using Response Surface Methodology (1994)Strengths and limitations of taguchi's contributions to quality, manufacturing, and process engineering (2004)Robust Parameter Design of Multiple-Target Systems (2002)On the Use of Data Compression Measures to Analyze Robust Designs (2005)Robust Design: An Overview (2006)Response surface methodology (2010)Combining Taguchi and Response Surface Philosophies: A Dual Response Approach (1990)A Conceptual model for total quality management in service organizations (2001)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)
this work references cited by second hop

References

  • 1990Quality Engineering Using Robust Design2,125 cited
  • 1992Taguchi's Parameter Design: A Panel Discussion714 cited
  • 1989Introduction to Quality Engineering: Designing Quality Into Products and Processes629 cited
  • 1992Analysis of Designed Experiments with Complex Aliasing353 cited
  • 1992Response Surface Alternatives to the Taguchi Robust Parameter Design Approach335 cited
  • 1991Economical Experimentation Methods for Robust Design319 cited
  • 1987Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios208 cited
  • 1996Parameter design for signal-response systems: a different look at Taguchi's dynamic parameter design70 cited
  • 1994Dispersion Effects in Robust-Design Experiments with Noise Factors65 cited
  • 1997Analysis of dynamic robust design experiments54 cited
  • 1996A critical look at Taguchi's modelling approach for robust design53 cited
  • 1993Response model analysis for robust design experiments43 cited

Cited by

  • 2012Bayesian Modeling and Optimization of Functional Responses Affected by Noise Factors31 cited
  • 2008Robust design of nonlinear multiple dynamic quality characteristics30 cited

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