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Journal of Statistical Computation and Simulation Volume 90, 2020 - Issue 16
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Articles

A predictive Bayesian approach to EWMA and CUSUM charts for time-between-events monitoring

Sajid Alia Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan;b Department of Decision Sciences, Bocconi University, Milan, ItalyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4868-7932
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Pages 3025-3050 | Received 08 Dec 2019, Accepted 05 Jul 2020, Published online: 15 Jul 2020

Citations (7)

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Read on this site (2)

Konstantinos Bourazas, Frederic Sobas & Panagiotis Tsiamyrtzis. (2023) Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs. Journal of Quality Technology 55:4, pages 391-403.
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Ahmed Maged, Salah Haridy, Michael B. C. Khoo & Mohammad Shamsuzzaman. (2022) Time Between Events Monitoring for Imperfect Maintained Systems with Application to a Robotic System. Journal of Statistical Computation and Simulation 92:7, pages 1347-1372.
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Articles from other publishers (5)

Abdullah A. Zaagan, Imad Khan, Amel Ayari-Akkari, Aamir Raza & Bakhtiyar Ahmad. (2024) Memory type Bayesian adaptive max-EWMA control chart for weibull processes. Scientific Reports 14:1.
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Botao Liu, Muhammad Noor-ul-Amin, Imad Khan, Emad A. A. Ismail & Fuad A. Awwad. (2023) Integration of Bayesian Adaptive Exponentially Weighted Moving Average Control Chart and Paired Ranked-Based Sampling for Enhanced Semiconductor Manufacturing Process Monitoring. Processes 11:10, pages 2893.
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Chelsea L. Jones, Abdel‐Salam G. Abdel‐Salam & D'Arcy Mays. (2022) Novel Bayesian CUSUM and EWMA control charts via various loss functions for monitoring processes. Quality and Reliability Engineering International 39:1, pages 164-189.
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Tahir Abbas, Muhammad Riaz, Bushra Javed & Mu'azu Ramat Abujiya. (2023) A new scheme of dispersion charts based on neoteric ranked set sampling. AIMS Mathematics 8:8, pages 17996-18020.
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Sajid Ali. (2021) Time‐between‐events monitoring using nonhomogeneous Poisson process with power law intensity. Quality and Reliability Engineering International 37:8, pages 3157-3178.
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