On the multivariate progressive control chart for effective monitoring of covariance matrix-Reference-Cited by-同舟云学术

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On the multivariate progressive control chart for effective monitoring of covariance matrix

Published:2021-04-26 Issue:6 Volume:37 Page:2724-2737
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Ajadi Jimoh Olawale¹^ORCID,Hung Kevin¹^ORCID,Riaz Muhammad²^ORCID,Ajadi Nurudeen Ayobami³^ORCID,Mahmood Tahir¹^ORCID

Affiliation:

1. Department of Technology School of Science and Technology The Open University of Hong Kong Kowloon Hong Kong

2. Department of Mathematics and Statistics King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia

3. Department of Statistics Federal University of Agriculture Abeokuta Nigeria

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2887

Reference41 articles.

1. Models and monitoring of zero‐inflated processes: The past and current trends

2. Multivariate quality control‐illustrated by the air testing of sample bombsights;Hotelling H;Techniques of Statistical Analysis,1947

3. Monitoring data quality for telehealth systems in the presence of missing data

4. A Note on Multivariate CUSUM Procedures

5. Multivariate Generalizations of Cumulative Sum Quality-Control Schemes

Cited by 8 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. A control chart based on data depth for monitoring the variability in a multivariate process;Communications in Statistics - Simulation and Computation;2023-03-08

2. Triple Homogeneously Weighted Moving Average Charts for Monitoring Process Dispersion;Mathematical Problems in Engineering;2023-02-03

3. A high-dimensional control chart for monitoring process variability under gauge imprecision effect;Production Engineering;2022-12-23

4. Improved Nonparametric Control Chart Based on Ranked Set Sampling with Application of Chemical Data Modelling;Mathematical Problems in Engineering;2022-06-13

5. A critique of a variety of “memory-based” process monitoring methods;Journal of Quality Technology;2022-02-23

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