Detecting special-cause variation ‘events’ from process data signatures-Reference-Cited by-同舟云学术

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Detecting special-cause variation ‘events’ from process data signatures

Published:2019-06-11 Issue:16 Volume:46 Page:3032-3043
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Young Timothy M.¹,Khaliukova Olga²,André Nicolas¹,Petutschnigg Alexander³,Rials Timothy G.⁴,Chen Chung-Hao⁵

Affiliation:

1. Center for Renewable Carbon, University of Tennessee, Knoxville, TN, USA

2. Assured Bio Labs, LLC, Oak Ridge, TN, USA

3. Holztechnologie und Holzbau, Salzburg University of Applied Sciences, Kuchl, Austria

4. Center for Renewable Carbon, University of Tennessee, AgResearch, Knoxville, TN, USA

5. Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA

Funder

Cooperative State Research, Education, and Extension Service

U.S. Department of Energy

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2019.1622658

Reference31 articles.

1. The State of Statistical Process Control as We Proceed into the 21st Century

2. The Rate of False Signals in Ū Control Charts with Estimated Limits

3. Using Control Charts to Monitor Process and Product Quality Profiles

4. Controversies and Contradictions in Statistical Process Control

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. Quantifying the Natural Variation of ‘Data Signatures’ from Aerosols Using Statistical Control Bands;Mathematics;2022-06-17

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