A simple test to determine the contributors of fraction nonconforming shifts in a multivariate binomial process
Author:
Affiliation:
1. Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Link
https://www.tandfonline.com/doi/pdf/10.1080/08982112.2022.2124876
Reference48 articles.
1. Methods for interpreting the out-of-control signal of multivariate control charts: A comparison study
2. Artificial neural networks to classify mean shifts from multivariate χ2 chart signals
3. One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes
4. Identifying the source of variance shifts in the multivariate process using neural networks and support vector machines
5. Control charts for fraction nonconforming in a bivariate binomial process
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