The robustness of sufficient reduction methods for detecting shifts of various types in multivariate processes-Reference-Cited by-同舟云学术

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The robustness of sufficient reduction methods for detecting shifts of various types in multivariate processes

Published:2021-02-25 Issue:5 Volume:37 Page:2276-2287
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Hinsheranan Sawaporn¹^ORCID,Stillman Eleanor C.²

Affiliation:

1. Faculty of Science Naresuan University Phitsanulok Thailand

2. School of Mathematics and Statistics The University of Sheffield Sheffield UK

Funder

Naresuan University

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2857

Reference27 articles.

1. Overview of Temporal Surveillance

2. Methods and evaluations for surveillance in industry, business, finance, and public health

3. An overview of dynamic anomaly detection in social networks via control charts

4. Evaluation and comparison of statistical methods for early temporal detection of outbreaks: A simulation-based study

5. Current and Potential Statistical Methods for Monitoring Multiple Data Streams for Biosurveillance

Cited by 1 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. Sufficient Reduction Method for Bivariate Zero-Inflated Poisson Process;International Journal of Analysis and Applications;2024-01-16

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