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Technometrics Volume 39, 1997 - Issue 4
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Original Articles

Fractional Resolution and Minimum Aberration in Blocked 2n—k Designs

Randy R. Sitter Department of Mathematics and Statistics, Simon Fraser University, Burnaby, BC, V5A lS6, Canada E-mail: [email protected]
,
Jiahua Chen Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ONT, N2L 3Gl, Canada E-mail: [email protected]
&
Moshe Feder Department of Social Statistics, University of Southampton, Southampton, Hampshire SO 17 1BS, United Kingdom E-mail: [email protected]
Pages 382-390 | Published online: 12 Mar 2012

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José Núñez Ares & Peter Goos. (2023) Blocking OMARS designs and definitive screening designs. Journal of Quality Technology 55:4, pages 489-509.
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Yanfei Wang, Zhiming Li & Runchu Zhang. (2020) Three-level blocked regular designs with general minimum lower order confounding. Communications in Statistics - Theory and Methods 49:10, pages 2498-2513.
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Qian-Qian Zhao & Sheng-Li Zhao. (2019) Mixed-level designs with multi block variables containing clear two-factor interaction components. Communications in Statistics - Theory and Methods 48:13, pages 3402-3412.
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Eric D. Schoen, Nha Vo-Thanh & Peter Goos. (2019) Orthogonal blocking arrangements for 24-run and 28-run two-level designs. Journal of Quality Technology 51:2, pages 143-158.
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Jessica Jaynes, Hongquan Xu & Weng Kee Wong. (2017) Minimum aberration designs for discrete choice experiments. Journal of Statistical Theory and Practice 11:2, pages 339-360.
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Sheng-Li Zhao & Peng-Fei Li. (2016) Construction of minimum aberration blocked two-level regular factorial designs. Communications in Statistics - Theory and Methods 45:17, pages 5028-5036.
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Pi-Wen Tsai. (2016) A Study of Two Types of Split-Plot Designs. Journal of Quality Technology 48:1, pages 44-53.
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Yibing Oliver Chen & Mike Jacroux. (2015) On the Use of Semi-folding in Regular Blocked Two-level Factorial Designs. Communications in Statistics - Theory and Methods 44:12, pages 2473-2506.
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Jialin Wei, Peng Li & Runchu Zhang. (2014) Blocked Two-Level Regular Designs With General Minimum Lower Order Confounding. Journal of Statistical Theory and Practice 8:1, pages 46-65.
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Eric D. Schoen, Bagus Sartono & Peter Goos. (2013) Optimal Blocking for General Resolution-3 Designs. Journal of Quality Technology 45:2, pages 166-187.
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Mike Jacroux. (2011) Reverse Foldovers for Blocked 2 − Fractional Factorial Designs. Communications in Statistics - Theory and Methods 40:15, pages 2799-2808.
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Runchu Zhang, Peng Li & Jialin Wei. (2011) Optimal Two-Level Regular Designs with Multi Block Variables. Journal of Statistical Theory and Practice 5:1, pages 161-178.
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P. C. Wang. (2010) A Simple Method for Obtaining Minimum Aberration Designs. Communications in Statistics - Theory and Methods 39:18, pages 3363-3370.
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Yong Guo, JamesR. Simpson & JosephJ. Pignatiello$suffix/text()$suffix/text(). (2009) Deciphering All Those Minimum Aberration Criteria for Experimental Designs. Quality Engineering 21:4, pages 432-445.
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Robert G. McLeod & John F. Brewster. (2008) Optimal Foldover Plans for Two-Level Fractional Factorial Split-Plot Designs. Journal of Quality Technology 40:2, pages 227-240.
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Kathleen F. Kerr. (2006) Efficient 2 Factorial Designs for Blocks of Size 2 with Microarray Applications. Journal of Quality Technology 38:4, pages 309-318.
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Robert G. McLeod & John F. Brewster. (2006) Blocked Fractional Factorial Split-Plot Experiments for Robust Parameter Design. Journal of Quality Technology 38:3, pages 267-279.
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Thomas P. Ryan. (2004) Planning, Construction, and Statistical Analysis of Comparative Experiments. Journal of Quality Technology 36:4, pages 454-457.
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J. L. Loeppky & R. R. Sitter. (2002) Analyzing Unreplicated Blocked or Split-Plot Fractional Factorial Designs. Journal of Quality Technology 34:3, pages 229-243.
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MaxD. Morris. (2000) Three Technomefrics Experimental Design Classics. Technometrics 42:1, pages 26-27.
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Derek Bingham & RandyR. Sitter. (1999) Minimum-Aberration Two-Level Fractional Factorial Split-Plot Designs. Technometrics 41:1, pages 62-70.
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Zhi Li & Zhi-Ming Li. A general minimum lower-order confounding criterion for s-level blocked designs. Communications in Statistics - Theory and Methods 0:0, pages 1-17.
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Articles from other publishers (2)

Yuna Zhao. (2021) Construction of blocked designs with multi block variables. AIMS Mathematics 6:6, pages 6293-6308.
Crossref
Ching-Shui Cheng & Boxin Tang. (2005) A general theory of minimum aberration and its applications. The Annals of Statistics 33:2.
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