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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 36, 2004 - Issue 4
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Articles

A Strategy of Searching Active Factors in Supersaturated Screening Experiments

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Pages 392-399 | Published online: 16 Feb 2018

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Read on this site (9)

Krystallenia Drosou & Christos Koukouvinos. (2019) A new variable selection method based on SVM for analyzing supersaturated designs. Journal of Quality Technology 51:1, pages 21-36.
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Anna Errore, Bradley Jones, William Li & Christopher J. Nachtsheim. (2017) Using Definitive Screening Designs to Identify Active First- and Second-Order Factor Effects. Journal of Quality Technology 49:3, pages 244-264.
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E. Androulakis, C. Koukouvinos & F. Vonta. (2016) A New Method for the Analysis of Supersaturated Designs with Discrete Data. Communications in Statistics - Simulation and Computation 45:6, pages 1971-1990.
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Maria L. Weese, Byran J. Smucker & David J. Edwards. (2015) Searching for Powerful Supersaturated Designs. Journal of Quality Technology 47:1, pages 66-84.
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C. Koukouvinos, K. Mylona & A. Skountzou. (2011) A Variable Selection Method for Analyzing Supersaturated Designs. Communications in Statistics - Simulation and Computation 40:4, pages 484-496.
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PhilipR. Scinto, RobertG. Wilkinson & DennisK. J. Lin. (2010) Screening for Fuel Economy: A Case Study of Supersaturated Designs in Practice. Quality Engineering 23:1, pages 15-25.
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C. Koukouvinos & K. Mylona. (2008) A Method for Analyzing Supersaturated Designs with a Block Orthogonal Structure. Communications in Statistics - Simulation and Computation 37:2, pages 290-300.
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Hong Wan & Bruce E. Ankenman. (2007) Two-Stage Controlled Fractional Factorial Screening for Simulation Experiments. Journal of Quality Technology 39:2, pages 126-139.
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C. Koukouvinos, P. Mantas & S. Stylianou. (2006) A block-stepwise method for analyzing a specific type of supersaturated designs. Journal of Discrete Mathematical Sciences and Cryptography 9:2, pages 383-402.
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Articles from other publishers (20)

Joab R. Winkler & Marilena Mitrouli. (2020) Condition estimation for regression and feature selection. Journal of Computational and Applied Mathematics 373, pages 112212.
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R. Cela Torrijos & R. Phan-Tan-Luu. 2020. Comprehensive Chemometrics. Comprehensive Chemometrics 209 250 .
Mourad Jridi, Imen Lassoued, Amel Kammoun, Rim Nasri, Moncef chaâbouni, Moncef Nasri & Nabil Souissi. (2015) Screening of factors influencing the extraction of gelatin from the skin of cuttlefish using supersaturated design. Food and Bioproducts Processing 94, pages 525-535.
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N. Balakrishnan, C. Koukouvinos & C. Parpoula. (2013) Analyzing supersaturated designs for discrete responses via generalized linear models. Statistical Papers 56:1, pages 121-145.
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Stelios D. Georgiou. (2014) Supersaturated designs: A review of their construction and analysis. Journal of Statistical Planning and Inference 144, pages 92-109.
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Yuhui Yin, Qiaozhen Zhang & Min-Qian Liu. (2012) A two-stage variable selection strategy for supersaturated designs with multiple responses. Frontiers of Mathematics in China 8:3, pages 717-730.
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N. Balakrishnan, C. Koukouvinos & C. Parpoula. (2011) An information theoretical algorithm for analyzing supersaturated designs for a binary response. Metrika 76:1, pages 1-18.
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N. Balakrishnan, C. Koukouvinos & C. Parpoula. (2012) Analysis of a supersaturated design using Entropy Prior Complexity for binary responses via generalized linear models. Statistical Methodology 9:4, pages 478-485.
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C. Koukouvinos, E. Massou, K. Mylona & C. Parpoula. (2011) Analyzing supersaturated designs with entropic measures. Journal of Statistical Planning and Inference 141:3, pages 1307-1312.
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M. Claeys-Bruno, M. Dobrijevic, R. Cela, R. Phan-Tan-Luu & M. Sergent. (2011) Supersaturated designs for computer experiments: Comparison of construction methods and new methods of treatment adapted to the high dimensional problem. Chemometrics and Intelligent Laboratory Systems 105:2, pages 137-146.
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Peng Li, Shengli Zhao & Runchu Zhang. (2010) A cluster analysis selection strategy for supersaturated designs. Computational Statistics & Data Analysis 54:6, pages 1605-1612.
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F. Rais, A. Kamoun, M. Chaabouni, M. Claeys-Bruno, R. Phan-Tan-Luu & M. Sergent. (2009) Supersaturated design for screening factors influencing the preparation of sulfated amides of olive pomace oil fatty acids. Chemometrics and Intelligent Laboratory Systems 99:1, pages 71-78.
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Frederick K.H. Phoa, Yu-Hui Pan & Hongquan Xu. (2009) Analysis of supersaturated designs via the Dantzig selector. Journal of Statistical Planning and Inference 139:7, pages 2362-2372.
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M. Claeys-Bruno, M. Dobrijevic, R. Phan-Tan-Luu & M. Sergent. (2009) A new class of supersaturated design: Application to a sensitivity study of a photochemical model. Chemometrics and Intelligent Laboratory Systems 95:1, pages 86-93.
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R. Cela, M. Claeys-Bruno & R. Phan-Tan-Luu. 2009. Comprehensive Chemometrics. Comprehensive Chemometrics 251 300 .
Stelios D. Georgiou. (2008) Modelling by supersaturated designs. Computational Statistics & Data Analysis 53:2, pages 428-435.
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Rolf Sundberg. (2008) A classical dataset from Williams, and its role in the study of supersaturated designs. Journal of Chemometrics 22:7, pages 436-440.
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B. Dejaegher & Y. Vander Heyden. (2007) Supersaturated designs: set-ups, data interpretation, and analytical applications. Analytical and Bioanalytical Chemistry 390:5, pages 1227-1240.
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Qiao-Zhen Zhang, Run-Chu Zhang & Min-Qian Liu. (2007) A method for screening active effects in supersaturated designs. Journal of Statistical Planning and Inference 137:6, pages 2068-2079.
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B. Dejaegher, X. Capron & Y. Vander Heyden. (2007) Fixing Effects and Adding Rows (FEAR) method to estimate factor effects in supersaturated designs constructed from Plackett–Burman designs. Chemometrics and Intelligent Laboratory Systems 85:2, pages 220-231.
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