Adaptive deadband control of a drifting process with unknown parameters

DOI10.1016/J.SPL.2006.12.006zbMath1114.62136OpenAlexW1984434923MaRDI QIDQ997262

Enrique Del Castillo, Zilong Lian

Publication date: 23 July 2007

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2006.12.006

zbMATH Keywords

random walksequential Monte Carlo methodsbounded adjustmentfixed adjustment cost

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30) Sequential statistical methods (62L99) Monte Carlo methods (65C05)

Cites Work

• Unnamed Item
• Setup adjustment under unknown process parameters and fixed adjustment cost
• Sequential Monte Carlo Methods in Practice
• An SPC Model for Short Production Runs: Minimizing Expected Cost
• Optimal Adjustment in the Presence of Deterministic Process Drift and Random Adjustment Error
• Linear Dynamic Recursive Estimation from the Viewpoint of Regresion Analysis
• A one-pass sequential Monte Carlo method for Bayesian analysis of massive datasets

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