An adaptive Bayesian scheme for joint monitoring of process mean and variance

DOI10.1016/J.COR.2013.05.018zbMath1348.62273OpenAlexW1984100822MaRDI QIDQ336629

George Nenes, Sofia Panagiotidou

Publication date: 10 November 2016

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2013.05.018

zbMATH Keywords

quality controlBayes theoremeconomic optimization

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (4)

A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart ⋮ Intermittent sampling for statistical process control with the number of defectives ⋮ New indices for the evaluation of the statistical properties of Bayesian \(\overline{x}\) control charts for short runs ⋮ Optimizing joint location-scale monitoring -- an adaptive distribution-free approach with minimal loss of information

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