Citations (38)
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Chang-Yun Lin & Po Yang. (2022) Bayesian analysis and follow-up experiments for supersaturated multistratum designs. Journal of Quality Technology 54:5, pages 527-546.
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Chang-Yun Lin. (2020) Generalized Bayesian D-optimal supersaturated multistratum designs. Quality Engineering 32:2, pages 212-222.
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Chang-Yun Lin. (2019) Supersaturated multistratum designs. Journal of Quality Technology 51:4, pages 325-337.
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Francesca Capaci, Erik Vanhatalo, Murat Kulahci & Bjarne Bergquist. (2019) The revised Tennessee Eastman process simulator as testbed for SPC and DoE methods. Quality Engineering 31:2, pages 212-229.
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Heidi Arnouts & Peter Goos. (2015) Staggered-Level Designs for Response Surface Modeling. Journal of Quality Technology 47:2, pages 156-175.
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Shu Ikeda, Shun Matsuura & Hideo Suzuki. (2014) Two-Step Residual-Based Estimation of Error Variances for Generalized Least Squares in Split-Plot Experiments. Communications in Statistics - Simulation and Computation 43:2, pages 342-358.
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LauraJ. Freeman, AnneG. Ryan, JenniferL. K. Kensler, RebeccaM. Dickinson & G.
Geoffrey Vining. (2013) A Tutorial on the Planning of Experiments. Quality Engineering 25:4, pages 315-332.
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Heidi Arnouts & Peter Goos. (2012) Staggered-Level Designs for Experiments With More Than One Hard-to-Change Factor. Technometrics 54:4, pages 355-366.
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Tae-Yeon Cho, DouglasC. Montgomery & ConnieM. Borror. (2012) A Case Study Involving Mixture–Process Variable Experiments within a Split-Plot Structure. Quality Engineering 24:1, pages 80-93.
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Eric Schoen, Bradley Jones & Peter Goos. (2011) A Split-Plot Experiment with Factor-Dependent Whole-Plot Sizes. Journal of Quality Technology 43:1, pages 66-79.
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Harrison Macharia & Peter Goos. (2010) D-Optimal and D-Efficient Equivalent-Estimation Second-Order Split-Plot Designs. Journal of Quality Technology 42:4, pages 358-372.
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Bradley Jones & Christopher J. Nachtsheim. (2009) Split-Plot Designs: What, Why, and How. Journal of Quality Technology 41:4, pages 340-361.
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Timothy J. Robinson, William A. Brenneman & William R. Myers. (2009) An Intuitive Graphical Approach to Understanding the Split-Plot Experiment. Journal of Statistics Education 17:1.
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Timothy J. Robinson, Christine M. Anderson-Cook & Michael S. Hamada. (2009) Bayesian Analysis of Split-Plot Experiments With Nonnormal Responses for Evaluating Nonstandard Performance Criteria. Technometrics 51:1, pages 56-65.
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Frank T. Anbari & James M. Lucas. (2008) Designing and Running Super-Efficient Experiments: Optimum Blocking With One Hard-to-Change Factor. Journal of Quality Technology 40:1, pages 31-45.
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Peter Goos & Alexander N. Donev. (2007) Tailor-Made Split-Plot Designs for Mixture and Process Variables. Journal of Quality Technology 39:4, pages 326-339.
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Li Liang, Christine M Anderson-Cook, Timothy J Robinson & Raymond H Myers. (2006) Three-Dimensional Variance Dispersion Graphs for Split-Plot Designs. Journal of Computational and Graphical Statistics 15:4, pages 757-778.
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Peter Goos, Ivan Langhans & Martina Vandebroek. (2006) Practical Inference from Industrial Split-Plot Designs. Journal of Quality Technology 38:2, pages 162-179.
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Peter Goos, Katherine Brickey & Ying Chen. A blocked staggered-level design for an experiment with two hard-to-change factors. Journal of Quality Technology 0:0, pages 1-18.
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Articles from other publishers (19)
Juan Wang, Jai‐Hyun Byun & Yizhong Ma. (2021) Analysis and optimization of split‐plot operating window experiments: Methodology and application. Quality and Reliability Engineering International 38:3, pages 1189-1206.
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Chang-Yun Lin & Po Yang. (2019)
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Chang‐Yun Lin. (2018)
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Luis A. Cortes, James R. Simpson & Peter A. Parker. (2018) Response surface split‐plot designs: A literature review. Quality and Reliability Engineering International 34:7, pages 1374-1389.
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Thomas P. Ryan. 2011. Statistical Methods for Quality Improvement. Statistical Methods for Quality Improvement
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Jeffrey C. Moreland, Julia L. Sharp & Philip J. Brown. (2010) Lab-Scale Fiber Spinning Experimental Design Cost Comparison. Journal of Engineered Fibers and Fabrics 5:1, pages 155892501000500.
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Steven G. Gilmour & Peter Goos. (2009) Analysis of Data from Non-Orthogonal Multistratum Designs in Industrial Experiments. Journal of the Royal Statistical Society Series C: Applied Statistics 58:4, pages 467-484.
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Marie Gaudard, Philip Ramsey & Mia Stephens. (2008) Interactive data mining informs designed experiments. Quality and Reliability Engineering International 25:3, pages 299-315.
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B. Jones & P. Goos. (2009) D-optimal design of split-split-plot experiments. Biometrika 96:1, pages 67-82.
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Jean-Jacques Garroi, Peter Goos & Kenneth Sörensen. (2009) A variable-neighbourhood search algorithm for finding optimal run orders in the presence of serial correlation. Journal of Statistical Planning and Inference 139:1, pages 30-44.
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Peter Goos. 2007. Encyclopedia of Statistics in Quality and Reliability. Encyclopedia of Statistics in Quality and Reliability.
Li Liang, Christine M. Anderson‐Cook & Timothy J. Robinson. (2006) Cost‐penalized estimation and prediction evaluation for split‐plot designs. Quality and Reliability Engineering International 23:5, pages 577-596.
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Nuno R.P. Costa, António R. Pires & Celma O. Ribeiro. (2006) Guidelines to help practitioners of design of experiments. The TQM Magazine 18:4, pages 386-399.
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Li Liang, Christine M. Anderson‐Cook & Timothy J. Robinson. (2006) Fraction of Design Space Plots for Split‐plot Designs. Quality and Reliability Engineering International 22:3, pages 275-289.
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Jitendra Ganju & James M. Lucas. (2005) Randomized and random run order experiments. Journal of Statistical Planning and Inference 133:1, pages 199-210.
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Ivan Langhans, Peter Goos & Martina Vandebroek. (2005) Identifying effects under a split‐plot design structure. Journal of Chemometrics 19:1, pages 5-15.
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