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Design and Analysis of Industrial Experiments.
0 references·8 citing·31 second hop
Design and Analysis of Industrial Experiments. (1954)Design and Analysis of Industrial Experim…The Role of Statistical Design of Experiments in Six Sigma: Perspectives of a Practitioner (2002)The Role of Statistical Desig…Finding Significant Effects for Unreplicated Fractional Factorials Using thenSmallest Contrasts (1993)Finding Significant Effects f…Evolutionary operation (EVOP) to optimize three‐dimensional biological experiments (1993)Evolutionary operation (EVOP)…Robust Design: A Cost-Effective Method for Improving Manufacturing Processes (1986)Robust Design: A Cost-Effecti…Sensitivity analysis and parameter estimation in dynamic modeling of chemical kinetics (1983)Sensitivity analysis and para…Sequences of Two-Level Fractional Factorial Plans (1969)Sequences of Two-Level Fracti…Condensed Calculations for Evolutionary Operation Programs (1959)Condensed Calculations for Ev…A Comparison of Maximum-Seeking Methods (1959)A Comparison of Maximum-Seeki…Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments (1959)Statistics for Experimenters (1979)Quick and Easy Analysis of Unreplicated Factorials (1989)Design and Analysis of Industrial Experiments. (1955)Evolutionary Operation: A Method for Increasing Industrial Productivity (1957)Factor Screening via Supersaturated Designs (2006)Optimal Supersaturated Designs (2014)Design of Experiments for Screening (2015)Design of Experiments (1936)Empirical Model Building and Response Surfaces (1988)Fortification of Six Sigma: expanding the DMAIC toolset (2007)Is design of experiments really used? A survey of Basque industries (2008)Design of experiments for non-manufacturing processes: benefits, challenges and some examples (2011)THE FRACTIONAL REPLICATION OF FACTORIAL ARRANGEMENTS (1943)Recent Developments in the Design of Factorial Experiments (1972)Design and Analysis of Industrial Experiments (2008)Stochastic Estimation of the Maximum of a Regression Function (1952)A Discussion of Random Methods for Seeking Maxima (1958)Recent Work on the Design of Experiments: A Bibliography and a Review (1969)An Empirical Investigation of Optimum-Seeking in the Computer Simulation Situation (1973)Optimization of stochastic simulation models (1980)On the Experimental Attainment of Optimum Conditions (1992)On the Experimental Attainment of Optimum Conditions (1951)The Experimental Study of Physical Mechanisms (1965)Bayesian Error Propagation for a Kinetic Model of n‐Propylbenzene Oxidation in a Shock Tube (2014)Uncertainty quantification and minimization (2019)OptEx: An integrated framework for experimental design and combustion kinetic model optimization (2022)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1985)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1989)Methods for Experimental Design - Principles and Applications for Physicists and Chemists (1993)A critical look at Taguchi's modelling approach for robust design (1996)
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Cited by

  • 1983Sensitivity analysis and parameter estimation in dynamic modeling of chemical kinetics103 cited
  • 1959A Comparison of Maximum-Seeking Methods89 cited
  • 1986Robust Design: A Cost-Effective Method for Improving Manufacturing Processes88 cited
  • 2002The Role of Statistical Design of Experiments in Six Sigma: Perspectives of a Practitioner85 cited
  • 1959Condensed Calculations for Evolutionary Operation Programs61 cited
  • 1969Sequences of Two-Level Fractional Factorial Plans38 cited
  • 1993Evolutionary operation (EVOP) to optimize three‐dimensional biological experiments36 cited
  • 1993Finding Significant Effects for Unreplicated Fractional Factorials Using thenSmallest Contrasts32 cited

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