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A Bayesian way of monitoring the linear profiles using CUSUM control charts

  • Published:2017-11-27 Issue:1 Volume:48 Page:126-149
  • ISSN:0361-0918
  • Container-title:Communications in Statistics - Simulation and Computation
  • language:en
  • Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Abbas Tahir1,Ahmad Shabbir2,Riaz Muhammad3,Qian Zhengming4

Affiliation:

1. Department of Statistics, Government College University Lahore, Lahore, Pakistan

2. Department of Mathematics, COMSATS Institute of Information Technology, Wah Cantt, Pakistan

3. Department of Mathematics and Statistics, King Fahad University of Petroleum and Minerals, Dhahran, Saudi Arabia

4. Department of Statistics, School of Economics, Xiamen University, Xiamen, China

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Memory type Max-EWMA control chart for the Weibull process under the Bayesian theory;Scientific Reports;2024-02-07

2. Classification Model of Control Charts Based on ML-SVM;Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications;2023-11-18

3. Monitoring multivariate simple linear profiles using individual observations;Journal of Statistical Computation and Simulation;2021-06-20

4. Improved simple linear profiling method with application to chemical gas sensors;Quality and Reliability Engineering International;2021-05-04

5. An efficient nonparametric double progressive mean chart for monitoring of the process location;Communications in Statistics - Simulation and Computation;2021-04-14
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