Hotelling T2 control chart based on minimum vector variance for monitoring high-dimensional correlated multivariate process

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dc.contributor.author Oyegoke, Odunayo Adiat
dc.contributor.author Adekeye, Kayode Samuel
dc.contributor.author Olaomi, John Olutunji
dc.contributor.author Malela-Majika, Jean-Claude
dc.date.accessioned 2025-01-27T12:42:40Z
dc.date.issued 2025-03
dc.description DATA AVAILABILITY STATEMENT : The data that supports the findings of this study are available in the supplementary material of this article. en_US
dc.description.abstract Please read abstract in the article. en_US
dc.description.department Statistics en_US
dc.description.embargo 2025-11-11
dc.description.librarian hj2024 en_US
dc.description.sdg None en_US
dc.description.uri http://wileyonlinelibrary.com/journal/qre en_US
dc.identifier.citation Oyegoke, O.A., Adekeye, K.S., Olaomi, J.O. et al. 2025, 'Hotelling T2 control chart based on minimum vector variance for monitoring high-dimensional correlated multivariate process', Quality and Reliability Engineering International, vol. 41, no. 2, pp. 765-783, doi : 10.1002/qre.3687. en_US
dc.identifier.issn 0748-8017 (print)
dc.identifier.issn 1099-1638 (online)
dc.identifier.other 10.1002/qre.3687
dc.identifier.uri http://hdl.handle.net/2263/100320
dc.language.iso en en_US
dc.publisher Wiley en_US
dc.rights © 2024 John Wiley & Sons Ltd. This is the pre-peer reviewed version of the following article: 'Hotelling T2 control chart based on minimum vector variance for monitoring high-dimensional correlated multivariate process', Quality and Reliability Engineering International, vol. 41, no. 2, pp. 765-783, doi : 10.1002/qre.3687. The definite version is available at http://wileyonlinelibrary.com/journal/qre. en_US
dc.subject Correlated multivariate process en_US
dc.subject Covariance matrix en_US
dc.subject High-dimensional data en_US
dc.subject Hotelling T2 control chart en_US
dc.subject Minimum vector variance en_US
dc.subject Regularized methods en_US
dc.title Hotelling T2 control chart based on minimum vector variance for monitoring high-dimensional correlated multivariate process en_US
dc.type Postprint Article en_US


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