A Bayesian way of monitoring the linear profiles using CUSUM control charts

DOI10.1080/03610918.2017.1375520OpenAlexW2756111382MaRDI QIDQ5086139

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Publication date: 1 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2017.1375520

zbMATH Keywords

posterior distributionaverage run length (ARL)linear profilesextra quadratic loss (EQL)Phase I and II

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Exact distribution theory in statistics (62E15) Probability distributions: general theory (60E05) Special processes (60K99) Characterization and structure theory of statistical distributions (62E10) Statistical tables (62Q05) Applied statistics (educational aspects) (97K80) Probability theory (educational aspects) (97K50)

Related Items (6)

A novel approach to monitor simple linear profiles using individual observations ⋮ Multi-objective economic-statistical design of simple linear profiles using a combination of NSGA-II, RSM, and TOPSIS ⋮ Robust dual-CUSUM control charts for contaminated processes ⋮ Monitoring of autocorrelated general linear profiles ⋮ An efficient nonparametric double progressive mean chart for monitoring of the process location ⋮ Monitoring multivariate simple linear profiles using individual observations

Cites Work

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• A change point method for Phase II monitoring of generalized linear profiles
• Phase I Analysis of Multiple Linear Regression Profiles
• Prior distribution elicitation for generalized linear and piecewise-linear models
• Uncertain Judgements: Eliciting Experts' Probabilities
• Regression. Models, methods and applications.

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