Optimal design of the adaptive exponentially weighted moving average control chart over a range of mean shifts

DOI10.1080/03610918.2014.983650zbMath1362.62204OpenAlexW2076703517WikidataQ123287068 ScholiaQ123287068MaRDI QIDQ2974897

Aya A. Aly, Mahmoud A. Mahmoud, Ramadan M. Hamed

Publication date: 11 April 2017

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

Full work available at URL: https://doi.org/10.1080/03610918.2014.983650

zbMATH Keywords

probability distributionMarkov chainstatistical process controlcontrol chartARLaverage run length (ARL)exponentially weighted moving average (EWMA)adaptive exponentially weighted moving averageAEWMA

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Sequential statistical analysis (62L10)

Related Items (4)

Double sampling |S| control chart with variable sample size and variable sampling interval ⋮ The adaptive EWMA median chart for known and estimated parameters ⋮ ARL estimation of the control chart of log likelihood ratios' sum for Markov sequence ⋮ An adaptive exponentially weighted moving average-type control chart to monitor the process mean

Cites Work

• Optimization designs of the combined Shewhart-CUSUM control charts
• The Performance of the MEWMA Control Chart when Parameters are Estimated
• Optimization design of control charts based on Taguchi's loss function and random process shifts
• A Reference-Free Cuscore Chart for Dynamic Mean Change Detection and a Unified Framework for Charting Performance Comparison
• Unnamed Item

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