A New Chart for Detecting the Process Mean and Variability
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Publication:3015880
DOI10.1080/03610918.2011.552823zbMath1217.62217OpenAlexW2090448573MaRDI QIDQ3015880
Jiujun Zhang, Zhaojun Wang, Changliang Zou
Publication date: 13 July 2011
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2011.552823
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Related Items (4)
Detecting changes in a multiparameter exponential family by using adaptive CUSUM procedure ⋮ Economically Optimal Design of a Multivariate SyntheticT2Chart ⋮ CUSUM Procedures for Monitoring Process Mean and Variability ⋮ An Adaptive Shiryaev–Roberts Procedure for Signalling Varying Location Shifts
Cites Work
- Comparison of EWMA, CUSUM and Shiryayev-Roberts procedures for detecting a shift in the mean
- Average run lengths of an optimal method of detecting a change in distribution
- A note on the run length of false alarm of a change-point detection policy
- Self-starting control chart for simultaneously monitoring process mean and variance
- Monitoring Process Mean and Variability with One Non-central Chi-square Chart
- Some Omnibus Exponentially Weighted Moving Average Statistical Process Monitoring Schemes
- Weighted-loss-function CUSUM chart for monitoring mean and variance of a production process
- An approach to the probability distribution of cusum run length
- A Reference-Free Cuscore Chart for Dynamic Mean Change Detection and a Unified Framework for Charting Performance Comparison
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