Process monitoring for multiple count data using generalized linear model-based control charts

By Katina R. Skinner, Douglas C. Montgomery, George C. Runger. 2003

135 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ac881b73aaa80f4d704b9db8dbb973b0bc136d35

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. Connie M. Borror
2. George C. Runger
3. Douglas C. Montgomery
4. Duangporn Jearkpaporn
5. William H. Woodall

In Statistics and Probability

1. Connie M. Borror
2. George C. Runger
3. Douglas C. Montgomery
4. Duangporn Jearkpaporn
5. William H. Woodall
6. Thomas Bauwens
7. R. Goericke
8. G. Helfman

Citations in the corpus

• Process monitoring for mean shifts for multiple stage processes (2007, background): “The GLR test for the hypothesis of a shift in the cth output at step a is GLR ¼ 2 yac ln ̂yac1 yac0 ̂yac1 þ yac0 ð7Þ Skinner et al. (2003) provides the derivation for equation (7).”
• Attribute Control Chart for Multivariate Poisson Distribution (2007, background): “Skinner et al. (2003) proposed a model-based control chart for a multivariate Poisson with measurable inputs.”
• Model-based process monitoring using robust generalized linear models (2005, background): “To remedy the normality and constant variance issues, Skinner et al. (2003) *Corresponding author.”