Statistical Process Monitoring and the Issue of Assumptions in Practice: Normality and Independence
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-25081-2_4
Reference5 articles.
1. Chakraborti, S., & Graham, M. A. (2019a). Nonparametric (distribution-free) control charts: An updated overview and some results. Quality Engineering. https://doi.org/10.1080/08982112.2018.1549330 .
2. Chakraborti, S., & Graham, M. A. (2019b). Nonparametric statistical process control. Wiley, New York, New York.
3. Chakraborti, S., van der Laan, P., & Bakir, S. T. (2001). Nonparametric control charts: An overview and some results. Journal of Quality Technology, 33, 304–315.
4. Gibbons, J. D., & Chakraborti, S. (2010). Nonparametric statistical inference (5th ed.). Boca Raton, FL: CRC Press.
5. Qiu, P. (2014). Introduction to statistical process control. Boca Raton, FL: Chapman Hall/CRC.
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