Individuals control schemes for monitoring the mean and variance of processes subject to drifts

By Marion R. Reynolds, Zachary G. Stoumbos. 2001

53 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/665803ab942dfb195f9fb168050ee119caf52b3f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Changliang Zou
2. Fugee Tsung
3. Sven Knoth
4. Yanfen Shang
5. Amirhossein Amiri

In Statistics and Probability

1. Changliang Zou
2. Fugee Tsung
3. Sven Knoth
4. Yanfen Shang
5. Amirhossein Amiri

Citations in the corpus

• Directional MEWMA Schemes for Multistage Process Monitoring and Diagnosis (2008, methodology): “In this event, the shift directions of Equation (6) are not affected and, as a consequence, we can expect that the DMEWMA chart still performs well because the EWMA scheme is also an effective tool to detect a drift (Reynolds and Stoumbos (2001)).”
• Accurate ARL Calculation for EWMA Control Charts Monitoring Normal Mean and Variance Simultaneously (2007, background): “See Reynolds and Stoumbos ( 2001a b 2004 ) for a discussion of these nasty problems.”