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Guidelines for Planning and Evidence for Assessing a Well-Designed Experiment
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Guidelines for Planning and Evidence for Assessing a Well-Designed Experiment (2013)Guidelines for Planning and Evidence for …Optimal Design of Experiments: A Case Study Approach (2012)Optimal Design of Experiments…Design and Analysis of Experiments (2012)Design and Analysis of Experi…Optimal Design of Experiments: A Case Study Approach (2011)Optimal Design of Experiments…Split-Plot Designs: What, Why, and How (2009)Split-Plot Designs: What, Why…Statistics for Experimenters: Design, Innovation and Discovery (2006)Statistics for Experimenters:…Statistical Design and Analysis of Experiments (2003)Statistical Design and Analys…Fraction of Design Space to Assess Prediction Capability of Response Surface Designs (2003)Fraction of Design Space to A…Experiments: Planning, Analysis, and Parameter Design Optimization (2001)Experiments: Planning, Analys…Experiments - Planning, Analysis and Parameter Design Optimization (2001)Experiments - Planning, Analy…A Systematic Approach to Planning for a Designed Industrial Experiment (1993)A Systematic Approach to Plan…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…Response Surface Methodology: 1966-1988 (1989)Response Surface Methodology:…Empirical Model Building and Response Surfaces (1988)Empirical Model Building and …Introduction to Statistical Quality Control (1987)Introduction to Statistical Q…Planning of Experiments (1958)Planning of ExperimentsDesign of Experiments (1936)Design of ExperimentsStatistics for Experimenters (1979)Response Surfaces: Designs and Analyses (1997)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)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)Quality Control and Industrial Statistics. (1967)Statistical Quality Control (1990)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)The Difficulty in Designing Shewhart X and X Control Charts with Estimated Parameters (2015)Design and Analysis of Experiments (2019)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Observational Study of Behavior: Sampling Methods (1974)Effect size, confidence interval and statistical significance: a practical guide for biologists (2007)Methods for combining randomized clinical trials: Strengths and limitations (1987)The Handbook of Research Synthesis (1995)Verification, validation, and predictive capability in computational engineering and physics (2004)Time-Series Modeling for Statistical Process Control (1988)Statistical process control as a tool for research and healthcare improvement (2003)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Chapter 17 Contingent Valuation (2005)Design of experiments with multiple independent variables: A resource management perspective on complete and reduced factorial designs. (2009)Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models (2009)Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study (2016)Design of experiments (DoE) in pharmaceutical development (2017)A review of machine learning for the optimization of production processes (2019)Application of design of experiments on the simulation of a process in automotive industry (2007)Fractional factorial design (2009)Cooperation or competition – When do people contribute more? A field experiment on gamification of crowdsourcing (2018)Response Surface Methodology (2002)Response-Surface Methods in R , Using rsm (2009)The generalization of Latin hypercube sampling (2015)
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References

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  • 1988Empirical Model Building and Response Surfaces5,235 cited
  • 1936Design of Experiments4,949 cited
  • 2012Design and Analysis of Experiments2,031 cited
  • 2001Experiments - Planning, Analysis and Parameter Design Optimization1,132 cited
  • 1958Planning of Experiments1,058 cited
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  • 1989Response Surface Methodology: 1966-1988594 cited
  • 2001Experiments: Planning, Analysis, and Parameter Design Optimization536 cited
  • 1987Introduction to Statistical Quality Control472 cited
  • 2006Statistics for Experimenters: Design, Innovation and Discovery435 cited
  • 1993A Systematic Approach to Planning for a Designed Industrial Experiment269 cited
  • 2009Split-Plot Designs: What, Why, and How243 cited
  • 2011Optimal Design of Experiments: A Case Study Approach196 cited
  • 2003Fraction of Design Space to Assess Prediction Capability of Response Surface Designs183 cited
  • 2012Optimal Design of Experiments: A Case Study Approach

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