Efficient Bayesian sampling inspection for industrial processes based on transformed spatio-temporal data

DOI10.1191/1471082X04st081oazbMath1061.62193OpenAlexW2164681107MaRDI QIDQ4675956

John Little, Michael Goldstein, Philip Jonathan

Publication date: 6 May 2005

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1191/1471082x04st081oa

zbMATH Keywords

minimaforecastinginspectiondecision supportspatio-temporalcorrosionindustrial statisticsDLM

Mathematics Subject Classification ID

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

Cites Work

• Dynamic Models for Spatiotemporal Data
• Statistical Methods for Multivariate Extremes: An Application to Structural Design
• A dimension-reduced approach to space-time Kalman filtering
• Spatio‐temporal modelling of corrosion in an industrial furnace

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