Empirical nonparametric control charts: estimation effects and corrections
By Willem Albers, Wim, Wilbert C. M. Kallenberg. 2002
48 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/e1ae0ef0da3c7bd9063977f57f1d7216f277aadd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- William H. Woodall
- Subhabrata Chakraborti
- Fugee Tsung
- Marien Alet Graham
- Willis A. Jensen
- L. A. Jones‐Farmer
- Changliang Zou
- Schalk William Human
Citations in the corpus
- 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.”
- Adaptive nonparametric CUSUM scheme for detecting unknown shifts in location (2014, methodology): “A chart is nonparametric or distribution free if its IC run-length distributions are the same for all continuous distributions (Chakraborti, Van der Laan, and Bakir 2001). In recent years, nonparametric control charts have attracted plenty of attention from the researchers. For example, a cumulative”
- A Nonparametric EWMA Sign Chart for Location Based on Individual Measurements (2011, methodology): “Albers and Kallenberg (2004, 2008, 2009) studied (a) conditions under which nonparametric charts are viable alternatives to their parametric counterparts and proposed (b) the MIN chart using the minimum of a subgroup and (c) a cumulative or sequential adaptation of the MIN chart (called the CUMIN…”