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Original Articles

A random effect autologistic regression model with application to the characterization of multiple microstructure samples

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Pages 34-42 | Received 21 Oct 2014, Accepted 17 Mar 2015, Published online: 13 Oct 2015

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Mohammad Aminisharifabad, Qingyu Yang & Xin Wu. (2020) A penalized autologistic regression with application for modeling the microstructure of dual-phase high-strength steel. Journal of Quality Technology 52:4, pages 329-342.
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Wujun Si, Qingyu Yang & Xin Wu. (2019) Material Degradation Modeling and Failure Prediction Using Microstructure Images. Technometrics 61:2, pages 246-258.
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Wujun Si, Qingyu Yang, Xin Wu & Yong Chen. (2018) Reliability analysis considering dynamic material local deformation. Journal of Quality Technology 50:2, pages 183-197.
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Articles from other publishers (7)

Xingyu Chen, Qingyu Yang & Xin Wu. (2022) Nonlinear degradation model and reliability analysis by integrating image covariate. Reliability Engineering & System Safety 225, pages 108602.
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Mohammad Aminisharifabad, Qingyu Yang & Xin Wu. (2021) A Deep Learning-Based Reliability Model for Complex Survival Data. IEEE Transactions on Reliability 70:1, pages 73-81.
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Hang Dong, Nan Chen & Kaibo Wang. (2017) Wafer yield prediction using derived spatial variables. Quality and Reliability Engineering International 33:8, pages 2327-2342.
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Mark A. Wolters. (2017) Better Autologistic Regression. Frontiers in Applied Mathematics and Statistics 3.
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Israel Cruz-Vega, Jose Rangel-Magdaleno, Juan Ramirez-Cortes & Hayde Peregrina-Barreto. (2017) Automatic progressive damage detection of rotor bar in induction motor using vibration analysis and multiple classifiers. Journal of Mechanical Science and Technology 31:6, pages 2651-2662.
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Nailong Zhang, Qingyu Yang & Xin Wu. (2016) A Semi-parametric Model for Microstructure Analysis of Advanced High-strength Dual-phase Steels Considering Sample Variation. Quality and Reliability Engineering International 32:8, pages 2777-2788.
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Wujun Si & Qingyu Yang. (2016) A Generalized Mixed Effect Kijima Model and Application in Optimal Maintenance Planning. IEEE Transactions on Reliability 65:3, pages 1551-1561.
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