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Original Articles

Development of Robust Design Under Contaminated and Non-normal Data

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Pages 463-469 | Published online: 15 Feb 2007

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Read on this site (7)

Zebiao Feng, Jianjun Wang, Yizhong Ma & Yiliu Tu. (2021) Robust parameter design based on Gaussian process with model uncertainty. International Journal of Production Research 59:9, pages 2772-2788.
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Melis Zeybek. (2020) Interval robust design under contaminated and non normal data. Communications in Statistics - Theory and Methods 49:22, pages 5406-5418.
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Melis Zeybek & Onur Köksoy. (2020) The effects of gamma noise on quality improvement. Communications in Statistics - Simulation and Computation 49:7, pages 1783-1797.
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Sangmun Shin & Byung Rae Cho. (2009) Studies on a biobjective robust design optimization problem. IIE Transactions 41:11, pages 957-968.
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J. Kovach & B. R. Cho. (2008) Development of a multidisciplinary–multiresponse robust design optimization model. Engineering Optimization 40:9, pages 805-819.
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Seong Beom Lee, Chanseok Park & Byung-Rae Cho. (2007) Development of a highly efficient and resistant robust design. International Journal of Production Research 45:1, pages 157-167.
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RobertE. Chapman & David Svacha. (2006) Designed Experiment with Nonnormally Distributed Responses. Quality Engineering 18:2, pages 179-187.
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Articles from other publishers (21)

Intan Martina Md Ghani & Hanafi A Rahim. (2023) The Effectiveness of the Huber's Weight on Dispersion and Tuning Constant: A Simulation Study. Scientific Annals of Economics and Business 70:2, pages 221-234.
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Zhuanzhuan Ma, Min Wang & Chanseok Park. (2023) Robust Explicit Estimation of the Log-Logistic Distribution with Applications. Journal of Statistical Theory and Practice 17:2.
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Hengyuan Zhang, Suyao Zhao, Ruiheng Liu, Wenlong Wang, Yixin Hong & Runjiu Hu. (2022) Automatic Traffic Anomaly Detection on the Road Network with Spatial-Temporal Graph Neural Network Representation Learning. Wireless Communications and Mobile Computing 2022, pages 1-12.
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Nasuhar Ab. Aziz & Habshah Midi. (2022) Penalty Function Optimization in Dual Response Surfaces Based on Decision Maker’s Preference and Its Application to Real Data. Symmetry 14:3, pages 601.
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Melis Zeybek, Onur Köksoy & Timothy J. Robinson. (2019) A dual‐response surface modeling approach for gamma robust design. Quality and Reliability Engineering International 36:1, pages 315-327.
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Özlem TÜRKŞEN, Ahmet KOCATÜRK & Gözde KARAKOÇ. (2019) OPTIMIZATION AND DECISION MAKING STAGES FOR ANALYSIS OF DUAL RESPONSE PROBLEM: MEDIAN-MAD, NSGA-II, TOPSIS. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 20:4, pages 458-473.
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Lijun Liu, Yizhong Ma, Chanseok Park & Jai-Hyun Byun. (2019) Robust sequential bifurcation for simulation factor screening under data contamination. Computers & Industrial Engineering 129, pages 102-112.
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Linhan Ouyang, Chanseok Park, Jai-Hyun Byun & Mark Leeds. 2019. Statistical Quality Technologies. Statistical Quality Technologies 347 373 .
Chanseok Park, Linhan Ouyang, Jai-Hyun Byun & Mark Leeds. (2017) Robust design under normal model departure. Computers & Industrial Engineering 113, pages 206-220.
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Chanseok Park & Mark Leeds. (2016) A highly efficient robust design under data contamination. Computers & Industrial Engineering 93, pages 131-142.
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Ishaq Baba, Habshah Midi, Sohel Rana & Gafurjan Ibragimov. (2015) An Alternative Approach of Dual Response Surface Optimization Based on Penalty Function Method. Mathematical Problems in Engineering 2015, pages 1-6.
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Gregory L. Boylan & Byung Rae Cho. (2013) Studies on the Effects of Estimator Selection in Robust Parameter Design under Asymmetric Conditions. Quality and Reliability Engineering International 29:4, pages 571-582.
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Gregory L. Boylan & Byung Rae Cho. (2013) Comparative studies on the high-variability embedded robust parameter design from the perspective of estimators. Computers & Industrial Engineering 64:1, pages 442-452.
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Tritiya R. Arungpadang & Young Jin Kim. (2012) Robust Parameter Design Based on Back Propagation Neural Network. Korean Management Science Review 29:3, pages 81-89.
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Byung Rae Cho & Sangmun Shin. (2012) Quality Improvement and Robust Design Methods to a Pharmaceutical Research and Development. Mathematical Problems in Engineering 2012, pages 1-14.
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Byung Rae Cho, Yongsun Choi & Sangmun Shin. (2009) RETRACTED ARTICLE: Development of censored data-based robust design for pharmaceutical quality by design. The International Journal of Advanced Manufacturing Technology 49:9-12, pages 839-851.
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Jami Kovach & Byung Rae Cho. (2009) A D-optimal design approach to constrained multiresponse robust design with prioritized mean and variance considerations. Computers & Industrial Engineering 57:1, pages 237-245.
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M.O. Abu-Shawie, F.M. Al-Athari & H.F. Kittani. (2009) Confidence Interval for the Mean of a Contaminated Normal Distribution. Journal of Applied Sciences 9:15, pages 2835-2840.
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Jami Kovach, Byung Rae Cho & Jiju Antony. (2009) Development of a variance prioritized multiresponse robust design framework for quality improvement. International Journal of Quality & Reliability Management 26:4, pages 380-396.
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HEAJIN JEONG, SUHILL SONG, SANGMUN SHIN & BYUNG RAE CHO. (2011) INTEGRATING DATA MINING TO A PROCESS DESIGN USING THE ROBUST BAYESIAN APPROACH. International Journal of Reliability, Quality and Safety Engineering 15:05, pages 441-464.
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Jami Kovach & Byung Rae Cho. (2007) Constrained robust design experiments and optimization with the consideration of uncontrollable factors. The International Journal of Advanced Manufacturing Technology 38:1-2, pages 7-18.
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