Incorporating principal component analysis into Hotelling <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si6.svg" display="inline" id="d1e24661"><mml:msup><mml:mrow><mml:mi mathvariant="normal">T</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math> control chart for compositional data monitoring-Reference-Cited by-同舟云学术

Incorporating principal component analysis into Hotelling T2 control chart for compositional data monitoring

Published:2023-12 Issue: Volume:186 Page:109755
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Imran Muhammad^ORCID,Dai Hong-Liang^ORCID,Zaidi Fatima Sehar^ORCID,Tran Kim Phuc^ORCID,Abbas Zameer^ORCID,Nazir Hafiz Zafar

Funder

Guangzhou University

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference45 articles.

1. Multivariate control chart based on PCA mix for variable and attribute quality characteristics;Ahsan;Production & Manufacturing Research,2018

2. Principal component analysis of high-frequency data;Ait-Sahalia;Journal of the American Statistical Association,2019

3. Logratios and natural laws in compositional data analysis;Aitchison;Mathematical Geology,1999

4. Logratio analysis and compositional distance;Aitchison;Mathematical Geology,2000

5. Quality improvement using statistical process control tools in glass bottles manufacturing company;Awaj;International Journal for Quality Research,2013

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