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Design and Analysis of Factorial Experiments
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Design and Analysis of Factorial Experiments (1958)Design and Analysis of Factorial Experime…Biological Importance and Statistical Significance (2013)Biological Importance and Sta…Developing multicomponent interventions using fractional factorial designs (2009)Developing multicomponent int…Bioprocess optimization using design‐of‐experiments methodology (2008)Bioprocess optimization using…Strengths and limitations of taguchi's contributions to quality, manufacturing, and process engineering (2004)Strengths and limitations of …One hundred years of the design of experiments on and off the pages of Biometrika (2001)One hundred years of the desi…The 2 k-p Fractional Factorial Designs Part I (2000)The 2 k-p Fractional Factoria…Response Surface Methods for Bi-Randomization Structures (1996)Response Surface Methods for …Taguchi's orthogonal arrays are classical designs of experiments (1991)Taguchi's orthogonal arrays a…One-at-a-Time Plans (1973)One-at-a-Time PlansThe analysis of randomized experiments with orthogonal block structure. II. Treatment structure and the general analysis of variance (1965)The analysis of randomized ex…Analysis of Factorial Arrangements when the Data are Proportions (1952)Analysis of Factorial Arrange…Restricted Randomization and Quasi-Latin Squares (1950)Restricted Randomization and …A SIMPLE APPROACH TO CONFOUNDING AND FRACTIONAL REPLICATION IN FACTORIAL EXPERIMENTS (1947)A SIMPLE APPROACH TO CONFOUND…THE FRACTIONAL REPLICATION OF FACTORIAL ARRANGEMENTS (1943)THE FRACTIONAL REPLICATION OF…THE THEORY OF CONFOUNDING IN FACTORIAL EXPERIMENTS IN RELATION TO THE THEORY OF GROUPS (1941)THE THEORY OF CONFOUNDING IN …THE COMPARATIVE ADVANTAGES OF SYSTEMATIC AND RANDOMIZED ARRANGEMENTS IN THE DESIGN OF AGRICULTURAL AND BIOLOGICAL EXPERIMENTS (1939)THE COMPARATIVE ADVANTAGES OF…On the Experimental Attainment of Optimum Conditions (1951)Empirical Model Building and Response Surfaces (1988)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Designs within a Split-Plot Structure (2005)I-Optimal Versus D-Optimal Split-Plot Response Surface Designs (2012)I-Optimal Design of Mixture Experiments (2016)Design of Experiments (1936)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)A Biometrics Invited Paper. A Review of Response Surface Methodology from a Biometric Viewpoint (1975)Minimum Aberration 2 k-p Designs (1980)Experimental Design: Review and Comment (1984)On the Experimental Attainment of Optimum Conditions (1992)Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building. (1979)Design and Analysis of Experiments (2005)Statistics for Experimenters: Design, Innovation and Discovery (2006)Design of experiments applications in bioprocessing: Concepts and approach (2013)Design of experiments and regression modelling in food flavour and sensory analysis: A review (2017)Hyperparameter Tuning of Machine Learning Algorithms Using Response Surface Methodology: A Case Study of ANN, SVM, and DBN (2022)The Design and Analysis of Factorial Experiments (1938)The Design and Analysis of Experiments (1952)Design and Analysis of Industrial Experiments. (1955)A Screening Design for Factorial Experiments with Interactions (1979)A role for "one-factor-at-a-time" experimentation in parameter design (2003)From stakeholders analysis to cognitive mapping and Multi-Attribute Value Theory: An integrated approach for policy support (2016)Introduction to Statistical Quality Control (1992)Application of PCA-based hybrid Taguchi method for correlated multicriteria optimization of submerged arc weld: a case study (2009)Optimization of green sand casting process parameters of a foundry by using Taguchi’s method (2010)Application of Taguchi-Based Design of Experiments for Industrial Chemical Processes (2018)AN EXAMINATION OF THE DIFFERENT POSSIBLE SOLUTIONS OF A PROBLEM IN INCOMPLETE BLOCKS (1940)The Design of Optimum Multifactorial Experiments (1946)Statistics for Experimenters (1979)Taguchi's Fixed-Element Arrays are Fractional Factorials (1991)Four-level orthogonal array design as a chemometric approach to the optimization of polarographic reaction system for phosphorus determination (1994)An Application of Taguchi L9 Method in Black Scholes Model for European Call Option (2018)The Principles of Biological Assay (1947)Accuracy of Personality and Social Judgments as Functions of Familiarity (1968)Assessing Risk Assessment (1985)The Roads Travelled (1995)Dispersion Effects from Fractional Designs (1986)Finding the Active Factors in Fractionated Screening Experiments (1993)Statistics as a Catalyst to Learning by Scientific Method Part II—A Discussion (1999)Balance in Designed Experiments with Orthogonal Block Structure (1983)Analysis of Variance Models in Orthogonal Designs (1984)A Neighbour Model for Field Experiments (1986)
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  • 2008Bioprocess optimization using design‐of‐experiments methodology422 cited
  • 2000The 2 k-p Fractional Factorial Designs Part I414 cited
  • 1991Taguchi's orthogonal arrays are classical designs of experiments241 cited
  • 1943THE FRACTIONAL REPLICATION OF FACTORIAL ARRANGEMENTS233 cited
  • 1973One-at-a-Time Plans224 cited
  • 1965The analysis of randomized experiments with orthogonal block structure. II. Treatment structure and the general analysis of variance190 cited
  • 2004Strengths and limitations of taguchi's contributions to quality, manufacturing, and process engineering176 cited
  • 1996Response Surface Methods for Bi-Randomization Structures144 cited
  • 1952Analysis of Factorial Arrangements when the Data are Proportions142 cited
  • 1941THE THEORY OF CONFOUNDING IN FACTORIAL EXPERIMENTS IN RELATION TO THE THEORY OF GROUPS115 cited
  • 1947A SIMPLE APPROACH TO CONFOUNDING AND FRACTIONAL REPLICATION IN FACTORIAL EXPERIMENTS108 cited
  • 2009Developing multicomponent interventions using fractional factorial designs107 cited
  • 1950Restricted Randomization and Quasi-Latin Squares81 cited
  • 1939THE COMPARATIVE ADVANTAGES OF SYSTEMATIC AND RANDOMIZED ARRANGEMENTS IN THE DESIGN OF AGRICULTURAL AND BIOLOGICAL EXPERIMENTS

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81 cited
  • 2013Biological Importance and Statistical Significance75 cited
  • 2001One hundred years of the design of experiments on and off the pages of Biometrika73 cited