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Meerveranderlike Statistiese Kwaliteitsbeheer

Dissertation (MSc (Wiskundige Statistiek))--University of Pretoria, 1991.

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Other Authors: Du Toit, S.H.C.
Format: Thesis
Language:Afrikaans
Published: University of Pretoria 2022
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access_status_str Open Access
author2 Du Toit, S.H.C.
author_browse Du Toit, S.H.C.
author_facet Du Toit, S.H.C.
collection Thesis
dc_rights_str_mv © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc (Wiskundige Statistiek))--University of Pretoria, 1991.
format Thesis
id oai:repository.up.ac.za:2263/85509
institution University of Pretoria (South Africa)
language Afrikaans
last_indexed 2026-06-10T12:37:08.629Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/85509 Meerveranderlike Statistiese Kwaliteitsbeheer Du Toit, S.H.C. De Villiers, Anton UCTD Meerveranderlike Statisties Kwaliteitsbeheer Dissertation (MSc (Wiskundige Statistiek))--University of Pretoria, 1991. Multivariate control charts are a relatively new approach in statistical process control. These charts have the advantage that a process functioning precisely to standard will be stopped less often mistakenly than in the case where univariate charts are used. The mutual relationships between variables are considered in the construction of the control limits, which is not the case with the univariate approach. The above-mentioned advantages have been confirmed by simulation studies. The robustness of univariate and multivariate control charts was investigated in respect of a process functioning under normal and varying circumstances. Changes were brought about in the process mean and the covariance matrix. The robustness of the different approaches for deviations from the theoretical assumption of normality was investigated. For this purpose, data were generated from the rectangular and the exponential distributions. Recommendations are made for the use of different multivariate control charts under different circumstances. Statistics MSc (Wiskundige Statistiek) Unrestricted 2022-05-17T11:22:06Z 2022-05-17T11:22:06Z 21/7/2021 1991 Dissertation * https://repository.up.ac.za/handle/2263/85509 af © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Meerveranderlike Statisties
Kwaliteitsbeheer
Meerveranderlike Statistiese Kwaliteitsbeheer
title Meerveranderlike Statistiese Kwaliteitsbeheer
title_full Meerveranderlike Statistiese Kwaliteitsbeheer
title_fullStr Meerveranderlike Statistiese Kwaliteitsbeheer
title_full_unstemmed Meerveranderlike Statistiese Kwaliteitsbeheer
title_short Meerveranderlike Statistiese Kwaliteitsbeheer
title_sort meerveranderlike statistiese kwaliteitsbeheer
topic UCTD
Meerveranderlike Statisties
Kwaliteitsbeheer
url https://repository.up.ac.za/handle/2263/85509