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Communications in Statistics - Simulation and Computation Volume 50, 2021 - Issue 8
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Original Articles

Model diagnostic procedures for copula-based Markov chain models for statistical process control

Xin-Wei HuangGraduate Institute of Statistics, National Central University, Taoyuan, TaiwanCorrespondence[email protected]
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Takeshi EmuraGraduate Institute of Statistics, National Central University, Taoyuan, TaiwanCorrespondence[email protected]
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Pages 2345-2367 | Received 04 Feb 2019, Accepted 28 Mar 2019, Published online: 02 May 2019

Citations (13)

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Xin-Wei Huang & Takeshi Emura. (2022) Computational methods for a copula-based Markov chain model with a binomial time series. Communications in Statistics - Simulation and Computation 0:0, pages 1-18.
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Articles from other publishers (12)

Jin Xu, Weiqi Wang, Zheming Gao, Haochen Luo & Qian Wu. (2023) A novel Markov model for near-term railway delay prediction. Computers & Industrial Engineering 181, pages 109302.
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Cang Wu, Shubin Si, Wenpo Huang & Wei Jiang. (2022) Copula-based CUSUM charts for monitoring infectious disease using Markovian Poisson processes. Computers & Industrial Engineering 172, pages 108536.
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Mateusz Oszczypała, Jarosław Ziółkowski & Jerzy Małachowski. (2022) Analysis of Light Utility Vehicle Readiness in Military Transportation Systems Using Markov and Semi-Markov Processes. Energies 15:14, pages 5062.
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Farhatul Janan, Naimur Rahman Chowdhury & Kais Zaman. (2022) A New Approach for Control Chart Pattern Recognition Using Nonlinear Correlation Measure. SN Computer Science 3:5.
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M. A. Nikitina & I. M. Chernukha. (2022) Methods for nonparametric statistics in scientific research. Overview. Part 2. Theory and practice of meat processing 7:1, pages 42-57.
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Xin-Wei Huang, Weijing Wang & Takeshi Emura. (2020) A copula-based Markov chain model for serially dependent event times with a dependent terminal event. Japanese Journal of Statistics and Data Science 4:2, pages 917-951.
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Shulin Zhang, Qian M. Zhou & Huazhen Lin. (2020) Goodness-of-fit test of copula functions for semi-parametric univariate time series models. Statistical Papers 62:4, pages 1697-1721.
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Li-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim & Takeshi EmuraLi-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim & Takeshi Emura. 2020. Copula-Based Markov Models for Time Series. Copula-Based Markov Models for Time Series 73 86 .
Li-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim & Takeshi EmuraLi-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim & Takeshi Emura. 2020. Copula-Based Markov Models for Time Series. Copula-Based Markov Models for Time Series 55 72 .
Li-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim & Takeshi EmuraLi-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim & Takeshi Emura. 2020. Copula-Based Markov Models for Time Series. Copula-Based Markov Models for Time Series 29 53 .
Li-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim & Takeshi EmuraLi-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim & Takeshi Emura. 2020. Copula-Based Markov Models for Time Series. Copula-Based Markov Models for Time Series 7 28 .
Li-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim & Takeshi EmuraLi-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim & Takeshi Emura. 2020. Copula-Based Markov Models for Time Series. Copula-Based Markov Models for Time Series 1 6 .

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