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The future of industrial statistics
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The future of industrial statistics (2014)The future of industrial statisticsControversies and Contradictions in Statistical Process Control (2000)Controversies and Contradicti…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Research Issues and Ideas in Statistical Process Control (1999)Research Issues and Ideas in …Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology:…Sequential Changepoint Detection in Quality Control and Dynamical Systems (1995)Sequential Changepoint Detect…Detection of Abrupt Changes: Theory and Applications. (1995)Detection of Abrupt Changes: …Taguchi's Parameter Design: A Panel Discussion (1992)Taguchi's Parameter Design: A…On the Experimental Attainment of Optimum Conditions (1992)On the Experimental Attainmen…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Signal-to-Noise Ratios, Performance Criteria, and Transformations (1988)Signal-to-Noise Ratios, Perfo…Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods…Design and Analysis of Experiments. (1978)Design and Analysis of Experi…On the Experimental Attainment of Optimum Conditions (1951)On the Experimental Attainmen…Design of Experiments (1936)On a Measure of the Information Provided by an Experiment (1956)Minimax and maximin distance designs (1990)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Random Balance Experimentation (1959)The Application of Random Balance Designs (1959)The art of simulation (1964)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Statistics for Experimenters (1979)Design and Analysis of Experiments (1998)Modeling and optimization I: Usability of response surface methodology (2006)Response surface methodology (2010)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Factorial Experiments Derivable from Combinatorial Arrangements of Arrays (1947)Some New Three Level Designs for the Study of Quantitative Variables (1960)Complex Experiments (1935)Small sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)A distribution-free approach to inducing rank correlation among input variables (1982)A review of techniques for parameter sensitivity analysis of environmental models (1994)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)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)Exploratory designs for computational experiments (1995)Design and Analysis of Experiments (1985)A Review on Global Sensitivity Analysis Methods (2015)Design of Experiments Application, Concepts, Examples: State of the Art (2017)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)
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References

  • 1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments9,554 cited
  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,270 cited
  • 1992Introduction to Statistical Quality Control7,842 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code7,071 cited
  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,945 cited
  • 1951On the Experimental Attainment of Optimum Conditions4,642 cited
  • 1992On the Experimental Attainment of Optimum Conditions3,474 cited
  • 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling2,483 cited
  • 1978Design and Analysis of Experiments.1,764 cited
  • 1995Detection of Abrupt Changes: Theory and Applications.1,033 cited
  • 1992Taguchi's Parameter Design: A Panel Discussion714 cited
  • 1999Research Issues and Ideas in Statistical Process Control631 cited
  • 1988Signal-to-Noise Ratios, Performance Criteria, and Transformations606 cited
  • 1995Sequential Changepoint Detection in Quality Control and Dynamical Systems

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581 cited
  • 2000Controversies and Contradictions in Statistical Process Control510 cited
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