Are estimated control charts in control?
By Willem Albers, Wilbert C. M. Kallenberg. 2004
86 citations recorded by the source corpus.
Subfields: Medical Laboratory Technology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e04503c28f1bd09f25e279de53225abb12626563
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
- Subhabrata Chakraborti
- Eugenio K. Epprecht
- William H. Woodall
- L. A. Jones‐Farmer
- Charles W. Champ
- Willis A. Jensen
In Statistics and Probability
- William H. Woodall
- Subhabrata Chakraborti
- Eugenio K. Epprecht
- Willis A. Jensen
- Mahmoud A. Mahmoud
- L. A. Jones‐Farmer
- Nesma A. Saleh
- Changliang Zou
Citations in the corpus
- Empirical nonparametric control charts: estimation effects and corrections (2002, background): “(1981), Quesenberry (1993), Chen (1997), Chakraborti (2000) and Chakraborti et al. (2001). In a series of papers we have analyzed the resulting picture in a systematic manner.”
- Another Look at the EWMA Control Chart with Estimated Parameters (2015, background): “The extent of this phenomenon was first recognized by Albers and Kallenberg (2004).”
- Effect of the Amount of Phase I Data on the Phase II Performance of S2 and S Control Charts (2015, background): “Albers and Kallenberg (2004a, 2004b) also recognized that, because the specified (nominal) falsealarm probability of a control chart is typically taken to be very small (corresponding to some extreme quantile of a plotting statistic), the estimation of parameters could lead to large relative…”
- The Difficulty in Designing Shewhart X̄ and X Control Charts with Estimated Parameters (2015, background): “Our approach and message are quite similar in spirit to those of Albers and Kallenberg (2004), who previously recognized the difficulty in controlling the in-control properties of control charts.”
- Shewhart control charts for dispersion adjusted for parameter estimation (2017, methodology): “One such recent proposal is to adjust the control limits to guarantee a minimum in-control chart performance based on the CFAR (or CARL; see, e.g., Albers and Kallenberg (2004), Gandy and Kvaløy (2013), and Goedhart et al. (2017)) with a given probability.”
- EWMA Control Charts for Monitoring Optimal Portfolio Weights (2007, background): “on the performance of control charts: see Albers and Kallenberg (2004a,b) and Champ et al. (2005). However, the analysis of this important issue is beyond the scope of our paper.”
- Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006, methodology): “In a recent paper, Albers and Kallenberg (2004a) studied the Individuals chart using exceedance probabilities and the ARL as performance measures.”