Multivariate Control Charts for Monitoring Autocorrelated Processes
By Wei Jiang. 2004
51 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/67f64faf7962f589724ec99e44af115f05d478ae
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In Control and Systems Engineering
In Statistics and Probability
Citations in the corpus
- Statistical process control for multistage processes with binary outputs (2013, methodology): “Similar to the Generalized Likelihood Ratio Test (GLRT) adopted in Jiang (2004) and Zou et al.”
- Directional MEWMA Schemes for Multistage Process Monitoring and Diagnosis (2008, background): “Note that Jiang (2004) examined the properties of the T (2)-test when shift information is available and argued that the efficiency of the T (2)-test can be improved by the GLRT by taking into consideration the special shift patterns.”