A unified Markov chain approach for computing the run length distribution in control charts with simple or compound rules

By James C. Fu, G. Shmueli, Y. Chang. 2003

52 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8f08e6f08472bc8e8b4dbe80428e1fa491efde63

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. Philippe Castagliola
2. Giovanni Celano
3. Hassen Taleb
4. Ali Achouri
5. Kim Phuc Tran
6. Changliang Zou
7. Stelios Psarakis
8. Zhaojun Wang

Citations in the corpus

• Monitoring the ratio of two normal variables using Run Rules type control charts (2016, background): “…the Shewhart charts with Run Rules were reported in Divoky and Taylor (1995), Champ and Woodall (1997), Klein (2000), Shmueli and Cohen (2003), Fu et al. (2003), Khoo (2004), Yasui, Ojima, and Suzuki (2006), Acosta-Mejia (2007), Antzoulakos and Rakitzis (2008), Zhang and Castagliola (2010),…”
• The computation of average run length and average time to signal: an overview (2014, background): “[61] gave out a unified Markov chain approach for computing the run length distribution in control charts with simple or compound rules.”
• Monitoring the Coefficient of Variation Using Control Charts with Run Rules (2013, background): “[11], Khoo [17], Klein [18], Palm [26], Riaz et al.”