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The Hierarchy Principle in Designed Industrial Experiments
3 references·1 citing·12 second hop
The Hierarchy Principle in Designed Industrial Experiments (2005)The Hierarchy Principle in Designed Indus…Design and Analysis of Experiments (2000)Design and Analysis of Experi…The Selection of Terms in Response-Surface Models-How Strong is the Weak-Heredity Principle? (1998)The Selection of Terms in Res…Analysis of Designed Experiments with Complex Aliasing (1992)Analysis of Designed Experime…Response surface experiments: A meta-analysis (2017)Response surface experiments:…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)On the Experimental Attainment of Optimum Conditions (1951)Some New Three Level Designs for the Study of Quantitative Variables (1960)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)The Mobius modeling tool (2002)Response Surface Methodology: A Retrospective and Literature Survey (2004)Foot measurements from three-dimensional scans: A comparison and evaluation of different methods (2006)
this work references cited by second hop

References

  • 2000Design and Analysis of Experiments1,158 cited
  • 1992Analysis of Designed Experiments with Complex Aliasing353 cited
  • 1998The Selection of Terms in Response-Surface Models-How Strong is the Weak-Heredity Principle?77 cited

Cited by

  • 2017Response surface experiments: A meta-analysis42 cited

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