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

DOI10.1080/00949655.2020.1793987OpenAlexW3042761863MaRDI QIDQ5033456

Sajid Ali

Publication date: 23 February 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2020.1793987

zbMATH Keywords

Poisson processaverage run length (ARL)Bayesian CUSUMBayesian EWMABayesian process monitoringpredictive control limitsself-adaptive control chartssequential process monitoringtime-between-events control charts

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Time Between Events Monitoring for Imperfect Maintained Systems with Application to a Robotic System

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