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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 45, 2013 - Issue 4
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Articles

Tips for Analyzing Nonregular Fractional Factorial Experiments

Robert W. MeeUniversity of Tennessee, Knoxville, TN37996-0532View further author information
Pages 330-349 | Published online: 21 Nov 2017

Citations (11)

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Read on this site (5)

Alan R. Vazquez, Eric D. Schoen & Peter Goos. (2021) A mixed integer optimization approach for model selection in screening experiments. Journal of Quality Technology 53:3, pages 243-266.
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William Li, Robert W. Mee & Qi Zhou. (2019) Using Individual Factor Information in Fractional Factorial Designs. Technometrics 61:1, pages 38-49.
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Robert W. Mee, Eric D. Schoen & David J. Edwards. (2017) Selecting an Orthogonal or Nonorthogonal Two-Level Design for Screening. Technometrics 59:3, pages 305-318.
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William Li & Dennis K. J. Lin. (2016) A Note on Foldover of 2 − Designs With Column Permutations. Technometrics 58:4, pages 508-512.
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Eric D. Schoen & Peter Goos. (2015) Discussion. Journal of Quality Technology 47:2, pages 114-118.
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Articles from other publishers (6)

Carly E. Metcalfe, Bradley Jones & Douglas C. Montgomery. (2021) Aliased informed model selection strategies for six‐factor no‐confounding designs. Quality and Reliability Engineering International 37:7, pages 3055-3065.
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Chunyan Wang & Robert W. Mee. (2021) Two-level parallel flats designs. The Annals of Statistics 49:5.
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Qi Zhou, Bing Guo & Shengli Zhao. (2018) A note on extending the alias length pattern. Statistics & Probability Letters 138, pages 82-89.
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Qi Zhou & Bing Guo. (2017) A note on constructing clear compromise plans. Statistics & Probability Letters 130, pages 17-24.
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Dizza Bursztyn & David Steinberg. (2015) Discussion of ‘Alternatives to resolution III regular fractional factorial designs for 9-14 factors in 16 runs’. Applied Stochastic Models in Business and Industry 31:1, pages 59-61.
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Bradley JonesShilpa Madhavan ShindeDouglas C. Montgomery. (2015) Alternatives to resolution III regular fractional factorial designs for 9-14 factors in 16 runs. Applied Stochastic Models in Business and Industry 31:1, pages 50-58.
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