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Efficient Designs to Develop a Design Space in Mixture Response Surface Analysis
Jong Hee Chung, Yong B. Lim
J Korean Soc Qual Manag. 2020;48(2):269-282. Published online June 26, 2020 DOI: https://doi.org/10.7469/JKSQM.2020.48.2.269
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Efficient Designs to Develop a Design Space in Quality by Design
Jong Hee Chung, Jinyoung Kim, Yong B. Lim
J Korean Soc Qual Manag. 2019;47(3):523-535. Published online September 27, 2019 DOI: https://doi.org/10.7469/JKSQM.2019.47.3.523
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Efficient determination of the size of experiments by using graphs in balanced design of experiments
Yong B. Lim, Sora Youn, Jong Hee Chung
J Korean Soc Qual Manag. 2018;46(3):651-658. Published online September 30, 2018 DOI: https://doi.org/10.7469/JKSQM.2018.46.3.651
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Efficient designs in conjoint analysis
Jong Hee Chung, Yong B. Lim
J Korean Soc Qual Manag. 2018;46(1):27-38. Published online March 31, 2018 DOI: https://doi.org/10.7469/JKSQM.2018.46.1.027
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Conjoint analysis by merging attributes
Yong B. Lim, Gahee Park, Jong Hee Chung
J Korean Soc Qual Manag. 2017;45(1):55-64. Published online March 31, 2017 DOI: https://doi.org/10.7469/JKSQM.2017.45.1.055
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Conjoint analysis with mixed levels of attributes
Yong B. Lim, Jong Hee Chung
J Korean Soc Qual Manag. 2016;44(4):799-811. Published online December 31, 2016 DOI: https://doi.org/10.7469/JKSQM.2016.44.4.799
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Literature Review on the Experimental Designs in KSQM for 50 Years
Sang Ik Kim, Sang Bok Lee, Yong Bin Lim, Dae Heung Jang
J Korean Soc Qual Manag. 2016;44(2):245-264. Published online June 30, 2016 DOI: https://doi.org/10.7469/JKSQM.2016.44.2.245
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Literature Review on the Statistical Methods in KSQM for 50 Years
Yong Bin Lim, Sang Ik Kim, Sang Bok Lee, Dae Heung Jang
J Korean Soc Qual Manag. 2016;44(2):221-244. Published online June 30, 2016 DOI: https://doi.org/10.7469/JKSQM.2016.44.2.221
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A Note on Finding Optimum Conditions Using Mixture Experimental Data with Process Variables
Yong B. Lim
J Korean Soc Qual Manag. 2013;41(1):109 DOI: https://doi.org/10.7469/JKSQM.2013.41.1.109
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Analysis of mixture experimental data with process variables
Yong-B. Lim
J Korean Soc Qual Manag. 2012;40(3):347 DOI: https://doi.org/10.7469/JKSQM.2012.40.3.347
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A Case Study for Finding an Efficient M&S Meta Model through Sequential Response Surface Methodology
Sang-Ik Kim, Yong-Dai Kim, Yong-Bin Lim, Jeong-Eun Kim
J Korean Soc Qual Manag. 2012;40(1):49 DOI: https://doi.org/10.7469/JKSQM.2012.40.1.049
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EVOP in Experiments with Mixtures
Yong-Bin Lim, Ho Cho, Yoing-Il Kim
J Korean Soc Qual Manag. 2011;39(4):500
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Practical designs for mixture component-process experiments
Yong-B. Lim
J Korean Soc Qual Manag. 2011;39(3):400
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Mixture response surface methodology for improving the current operating condition
Yong-B. Lim
J Korean Soc Qual Manag. 2010;38(3):413
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Screening Vital Few Variables and Development of Logistic Regression Model on a Large Data Set
Yong-B. Lim, J. Cho, Kyung-A Um, Sun-Ah Lee
J Korean Soc Qual Manag. 2006;34(2):129
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Practical Experimental Design Strategy and Analysis for the Comparison of Two Treatments
Yong-Bin Lim
J Korean Soc Qual Manag. 2005;33(3):156
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Note on classification and regression tree analysis
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J Korean Soc Qual Manag. 2002;30(1):152
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Study on the Size of Minimal Standardized Detectable Difference in Balanced Design of Experiments
J Korean Soc Qual Manag. 1998;26(4):239
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A Note on Generalized Signal-to-Noise Ratios
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J Korean Soc Qual Manag. 1997;25(4):88
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Generalized Linear Models for the Analysis of Data from the Quality-Improvement Experiments
Youngjo Lee, Yong Bin Lim
J Korean Soc Qual Manag. 1996;24(2):128
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Efficiency Comparison of Signal-to-Noise Ratios through Monte Carlo Simulations
Yong Bin Lim, Youngjo Lee
J Korean Soc Qual Manag. 1995;23(2):28
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