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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 49, 2017 - Issue 1
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Articles

CME Analysis: A New Method for Unraveling Aliased Effects in Two-Level Fractional Factorial Experiments

Heng SuWells Fargo, 401 S Tryon St., Charlotte, NC28202, USAView further author information
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C. F. Jeff WuSchool of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA30332, USAView further author information
Pages 1-10 | Published online: 21 Nov 2017

Citations (16)

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Read on this site (5)

Ming-Chung Chang. (2023) Bayesian-inspired minimum contamination designs under a double-pair conditional effect model. Statistical Theory and Related Fields 0:0, pages 1-14.
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Chunyan Wang & Dennis K. J. Lin. (2023) Interaction effects in pairwise ordering model. Journal of Quality Technology 55:4, pages 463-468.
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Simon Mak & C. F. Jeff Wu. (2019) Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization. Technometrics 61:4, pages 545-559.
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Peter Goos & Bradley Jones. (2019) Optimal Experimental Design in the Presence of Nested Factors. Technometrics 61:4, pages 533-544.
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Simon Mak & C. F. Jeff Wu. (2019) : A New Method for Bi-Level Variable Selection of Conditional Main Effects. Journal of the American Statistical Association 114:526, pages 844-856.
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Articles from other publishers (11)

Pere Grima, Lourdes Rodero & Xavier Tort‐Martorell. (2021) On the use of conditional main effects for de‐aliasing 2 k − p designs . Quality and Reliability Engineering International 38:3, pages 1157-1164.
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Arman Sabbaghi. (2021) An integrative framework for geometric and hidden projections in three-level fractional factorial designs. Journal of Statistical Planning and Inference 215, pages 257-267.
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Armando Javier Ríos-Lira, Yaquelin Verenice Pantoja-Pacheco, José Antonio Vázquez-López, José Alfredo Jiménez-García, Martha Laura Asato-España & Moisés Tapia-Esquivias. (2021) Alias Structures and Sequential Experimentation for Mixed-Level Designs. Mathematics 9:23, pages 3053.
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C. F. Jeff Wu & Michael Hamada. 2021. Experiments. Experiments 205 263 .
Judah L. Cleveland, Jeffrey A. Smith & James P. Collins. (2020) Factor Effects in Numerical Simulations. Journal of the Atmospheric Sciences 77:7, pages 2439-2451.
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John Lawson. (2020) Comparison of conditional main effects analysis to the analysis of follow‐up experiments for separating confounded two‐factor interaction effects in 2IVk−p fractional factorial experiments. Quality and Reliability Engineering International 36:4, pages 1454-1472.
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Ming-Chung Chang. (2019) De-aliasing in two-level factorial designs: A Bayesian approach. Journal of Statistical Planning and Inference 203, pages 82-90.
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Arman Sabbaghi. (2019) An Evaluation of Estimation Capacity Under the Conditional Main Effect Parameterization. Journal of Statistical Theory and Practice 13:4.
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C. F. Jeff Wu. (2018) A fresh look at effect aliasing and interactions: some new wine in old bottles. Annals of the Institute of Statistical Mathematics 70:2, pages 249-268.
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Chien-Yu Peng. (2018) Discussion. Annals of the Institute of Statistical Mathematics 70:2, pages 269-274.
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C. F. Jeff Wu. (2018) Rejoinder. Annals of the Institute of Statistical Mathematics 70:2, pages 279-281.
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