Directionally Sensitive Multivariate Control Charts in Practice: Application to Biosurveillance-Reference-Cited by-同舟云学术

Directionally Sensitive Multivariate Control Charts in Practice: Application to Biosurveillance

Published:2013-06-21 Issue:2 Volume:30 Page:159-179
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Yahav Inbal¹,Shmueli Galit²

Affiliation:

1. Department of Information Systems, School of Business Administration; Bar Ilan University; Israel

2. Indian School of Business; Gachibowli; Hyderabad 500 032 India

Publisher

Wiley

Subject

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

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/qre.1491/fullpdf

Reference29 articles.

1. Multivariate extensions to cumulative sum control charts;Runger;Quality and Reliability Engineering International,2004

2. Directionally sensitive multivariate statistical process control procedures with application to syndromic surveillance;Fricker;Advances in Disease Surveillance,2007

3. Comparing directionally sensitive MCUSUM and MEWMA procedures with application to biosurveillance;Fricker;Quality Engineering,2008

4. Multivariate generalizations of cumulative sum quality-control schemes;Crosier;Technometrics,1988

5. Comparisons of multivariate CUSUM charts;Pignatiello;Journal of Quality Technology,1990

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. Surveilling public health through statistical process monitoring: A literature review and a unified framework;Communications in Statistics: Case Studies, Data Analysis and Applications;2022-07-03

2. Online disease risk monitoring using DEWMA control chart;Expert Systems with Applications;2021-10

3. The robustness of sufficient reduction methods for detecting shifts of various types in multivariate processes;Quality and Reliability Engineering International;2021-02-25

4. Multivariate syndromic surveillance for cattle diseases: Epidemic simulation and algorithm performance evaluation;Preventive Veterinary Medicine;2019-11

5. The application of multivariate statistical process monitoring in non-industrial processes;Quality Technology & Quantitative Management;2016-09-14