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Original Articles

Rank-based process control for mixed-type data

, &
Pages 673-683 | Received 23 Sep 2013, Accepted 26 Aug 2014, Published online: 12 Apr 2016

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Li Xue, Qiuyu Wang, Zhen He & Peihua Qiu. (2023) A nonparametric EWMA control chart for monitoring mixed continuous and count data. Quality Technology & Quantitative Management 0:0, pages 1-17.
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Honghan Ye, Xiaochen Xian, Jing-Ru C. Cheng, Brock Hable, Robert W. Shannon, Mojtaba Kadkhodaie Elyaderani & Kaibo Liu. (2023) Online nonparametric monitoring of heterogeneous data streams with partial observations based on Thompson sampling. IISE Transactions 55:4, pages 392-404.
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Honghan Ye, Ziqian Zheng, Jing-Ru C. Cheng, Brock Hable & Kaibo Liu. (2023) Online monitoring of high-dimensional asynchronous and heterogeneous data streams for shifts in location and scale. International Journal of Production Research 0:0, pages 1-17.
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Jiayun Jin & Geert Loosveldt. (2022) Nonparametric multivariate control chart for numerical and categorical variables. Communications in Statistics - Simulation and Computation 0:0, pages 1-19.
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Junjie Wang, Qin Su & Min Xie. (2018) A univariate procedure for monitoring location and dispersion with ordered categorical data. Communications in Statistics - Simulation and Computation 47:1, pages 115-128.
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Jian Li & Qiang Zhou. (2017) A General Approach for Monitoring Serially Dependent Categorical Processes. Journal of Quality Technology 49:4, pages 365-379.
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Junjie Wang, Jian Li & Qin Su. (2017) Multivariate Ordinal Categorical Process Control Based on Log-Linear Modeling. Journal of Quality Technology 49:2, pages 108-122.
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Articles from other publishers (6)

Elisavet M SofikitouMarianthi Markatou & Markos V Koutras. (2023) Multivariate semiparametric control charts for mixed-type data. Statistical Methods in Medical Research 32:4, pages 671-690.
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Fugee Tsung & Kai Wang. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 239 259 .
Kaizong Bai & Jian Li. (2021) Location‐scale monitoring of ordinal categorical processes . Naval Research Logistics (NRL) 68:7, pages 937-950.
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Dong Ding & Jian Li. (2020) Efficient monitoring of overdispersed counts with time-varying population sizes. Computers & Industrial Engineering 143, pages 106409.
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Junjie Wang, Dong Ding & Qin Su. (2019) Latent change-point detection in ordinal categorical data. Quality and Reliability Engineering International 35:2, pages 504-516.
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Junjie Wang, Qin Su, Yue Fang & Pengwei Zhang. (2018) A multivariate sign chart for monitoring dependence among mixed-type data. Computers & Industrial Engineering 126, pages 625-636.
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