A CUSUM control chart for monitoring the variance when parameters are estimated
By Philippe Castagliola, Petros E. Maravelakis. 2011
83 citations recorded by the source corpus.
Subfields: Management Information Systems, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c489296ac7010251456f71f07ad9c783bf2fe990
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Eugenio K. Epprecht
- Subhabrata Chakraborti
- Philippe Castagliola
- Lorena D. Loureiro
- Fernanda Otilia Figueiredo
- Kim Phuc Tran
- Giovanni Celano
- Felipe Schoemer Jardim
In Statistics and Probability
- Philippe Castagliola
- Eugenio K. Epprecht
- Giovanni Celano
- Kim Phuc Tran
- Subhabrata Chakraborti
- Lorena D. Loureiro
- Petros E. Maravelakis
- Fernanda Otilia Figueiredo
Citations in the corpus
- Monitoring the ratio of population means of a bivariate normal distribution using CUSUM type control charts (2016, background): “There are many published research articles on it, for further details see for instance: Woodall and Adams (1993), Castagliola et al. (2009), Castagliola and Maravelakis (2011), Graham et al. (2014), Mukherjee (2015).”
- Effect of the Amount of Phase I Data on the Phase II Performance of S2 and S Control Charts (2015, background): “Thus, several authors, including Trietsch and Bischak (1998), Chakraborti (2006), Bischak and Trietsch (2007), and Saleh et al.”
- The EWMA median chart with estimated parameters (2016, background): “The case of control charts for the variance has been studied byHillier (1969), Hawkins (1987), Quesenberry (1991), Chen (1998), Maravelakis et al. (2002), Castagliola et al. (2009), Maravelakis and Castagliola (2009), and Castagliola and Maravelakis (2011).”