A Synthetic Control Chart for Detecting Small Shifts in the Process Mean
By Zhang Wu, T. Spedding. 2000
241 citations recorded by the source corpus.
Subfields: Medical Laboratory Technology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8433b52d5fb0eeccb7457e598fa40e0c931ba4e0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Medical Laboratory Technology
- Philippe Castagliola
- Michael Boon Chong Khoo
- Stephen M. Scariano
- Maria E. Calzada
- Abdul Haq
- Zhang Wu
- S. Zhang
- Giovanni Celano
In Statistics and Probability
- Michael Boon Chong Khoo
- Philippe Castagliola
- Stephen M. Scariano
- Maria E. Calzada
- Zhang Wu
- How Chinh Lee
- Chung-Ho Chen
- Abdul Haq
Citations in the corpus
- The Generalized Synthetic Chart (2009, methodology): “Once appropriate values for h and l are selected, the Synthetic Shewhart (SynShewhart) chart of Wu and Spedding (2000) can be implemented.”
- A new synthetic control chart for monitoring process mean using auxiliary information (2016, methodology): “In order to optimally design the synthetic chart for detecting a particular shift δmin in the process mean, a semi-algorithm has been suggested by Wu and Spedding.”
- Monitoring the process mean and variance using a weighted loss function CUSUM scheme with variable sampling intervals (2006, background): “In order to utilize the inspection capacity more effectively, many new control schemes have been developed (Wu and Spedding, 2000), and in particular adaptive charts have been intensively studied.”
- A synthetic double sampling control chart for the process mean (2010, methodology): “The ARLS(δ) formula in Equation (5) is similar to that in Wu and Spedding (2000) for the synthetic chart.”