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A multivariate process capability index based on the first principal component only
University West, Department of Engineering Science, Division of Natural Sciences and Electrical and Surveying Engineering. (PTW)ORCID iD: 0000-0002-2965-488X
Luleå Tekniska universitet.
2013 (English)In: Quality and Reliability Engineering International, ISSN 0748-8017, E-ISSN 1099-1638, Vol. 29, no 7, p. 987-1003Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2013. Vol. 29, no 7, p. 987-1003
Keywords [en]
multivariate process capability index, multivariate normal distribution, transformed variable, principal component analysis, significance lever, power, Work-integrated Learning, WIL
Keywords [sv]
AIL
National Category
Mathematical Analysis
Research subject
ENGINEERING, Manufacturing and materials engineering; PROFILE AREAS, Work Integrated Learning
Identifiers
URN: urn:nbn:se:hv:diva-4455DOI: 10.1002/qre.1451ISI: 000333581600005Scopus ID: 2-s2.0-84887118097OAI: oai:DiVA.org:hv-4455DiVA, id: diva2:537202
Note

Epub ahead of print

Available from: 2012-06-26 Created: 2012-06-26 Last updated: 2017-12-07Bibliographically approved
In thesis
1. Contributions to multivariate process capability indices
Open this publication in new window or tab >>Contributions to multivariate process capability indices
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Luelå: , 2012. p. 36
Series
Licentiate thesis / Luleå University of Technology, ISSN 1402-1757
National Category
Mathematics
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-4456 (URN)9789174393989 (ISBN)
Available from: 2012-06-28 Created: 2012-06-26 Last updated: 2019-03-15Bibliographically approved

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Tano, Ingrid

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  • apa
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  • en-US
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  • nn-NO
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Output format
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