Estimation of the Change Point in Monitoring the Process Mean and Variance

DOI10.1080/03610910701569028zbMath1126.62123OpenAlexW2003570796MaRDI QIDQ5436443

Jaeheon Lee, Chang-Soon Park

Publication date: 16 January 2008

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

Full work available at URL: https://doi.org/10.1080/03610910701569028

zbMATH Keywords

tablesmaximum likelihood estimatorcontrol chartvariable sample sizevariable sampling intervalvariable sampling rateprocess change point

Mathematics Subject Classification ID

Point estimation (62F10) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (4)

MONITORING THE PROCESS VARIANCE USING GWMA FOR EXPONENTIALLY DISTRIBUTED CHARACTERISTICS ⋮ Maximum likelihood estimation of the change point in stationary state of auto regressive moving average (ARMA) models, using SVD-based smoothing ⋮ A Multivariate Change Point Detection Procedure for Monitoring Mean and Covariance Simultaneously ⋮ Linear filter model representations for integrated process control with repeated adjustments and monitoring

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