PROPOSED HOTELLING’S T2 CONTROL CHARTS BASED ON LOCATION AND SCATTER MATRIX

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dc.contributor.authorObafemi, O. S.
dc.contributor.authorOyeyemi, G. M.
dc.contributor.authorBolarinwa, F. A.
dc.date.accessioned2023-07-27T09:10:31Z
dc.date.available2023-07-27T09:10:31Z
dc.date.issued2020
dc.description.abstractIn many quality control settings, the product (process) under examination may have two or more correlated quality characteristics; hence, an appropriate approach is needed to simultaneously monitor all the quality characteristics. The Hotelling T2 control chart based on the usual sample mean vector and variance - covariance matrix performs poorly, especially when there are multiple out of control points in the multivariate data set. Several alternative methods have been proposed, this includes methods based on the minimum volume ellipsoid (MVE) and the minimum covariance determinant (MCD) among many other methods. These control charts are powerful in detecting a reasonable number of outlying data.in this paper we propose a modified Hotelling T2 control charts using the eigen-values obtained from scatter matrix/ variance-covariance matrix of the multivariate data. The methods were used on a real-life data set. The studies show that this method outperforms the classical Hotelling T2 control charts and compete well with charts based on MVE and MCD for a small number of observations when the number of out of control points was increaseden_US
dc.description.sponsorshipSelf-sponsoreden_US
dc.identifier.citationInternational Journal of Applied Science and Engineering Reviewen_US
dc.identifier.issn2582 - 6271
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11642
dc.language.isoenen_US
dc.relation.ispartofseries1(5);61 – 73
dc.subjectHotelling T2, Control charts, Outliers, eigen-value, quality Characteristics, Mean shiften_US
dc.titlePROPOSED HOTELLING’S T2 CONTROL CHARTS BASED ON LOCATION AND SCATTER MATRIXen_US
dc.typeArticleen_US

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