Monitoring Correlation Within Linear Profiles Using Mixed Models

By Willis A. Jensen, Jeffrey B. Birch, William H. Woodall. 2008

225 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/044f64124315cd5d3e0f297dbcec8f38d239e271

How researchers see this paper

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

In Statistics and Probability

1. Changliang Zou
2. Fugee Tsung
3. Yanfen Shang
4. Rassoul Noorossana
5. William H. Woodall
6. Abolfazl Vaghefi
7. Sam Davanloo Tajbakhsh
8. Amirhossein Amiri

Citations in the corpus

• Current research on profile monitoring (2007, methodology): “This generalization was studied by Jensen et al. (2007) and Jensen and Birch (2007) for simple and nonlinear regression, respectively, using mixed models.”
• Phase II Monitoring of Nonlinear Profiles (2009, background): “Lawless et al. (1999), Kang and Albin (2000), Mahmoud and Woodall (2004), Montgomery (2005, p. 520), Gupta et al. (2006), Jensen et al. (2008), and Noorossana et al. (2008) presented some real world cases in which the quality characteristic is a linear profile.”
• Profile Monitoring with Binary Data and Random Predictors (2011, methodology): “In practical applications, the performance of the EWMA-GLM would be affected by the amount of data in the reference dataset (Jensen et al. (2006)).”