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Improved nonparametric control charts for location based on runs-rules

Dissertation (MSc)--University of Pretoria, 2011.

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Other Authors: Chakraborti, Subhabrata
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Chakraborti, Subhabrata
author_browse Chakraborti, Subhabrata
author_facet Chakraborti, Subhabrata
collection Thesis
dc_rights_str_mv © 2011, 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. E12/4/90/
description Dissertation (MSc)--University of Pretoria, 2011.
format Thesis
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institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:37:24.530Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/31132 Improved nonparametric control charts for location based on runs-rules Chakraborti, Subhabrata Human, Schalk William Kritzinger, Pierre UCTD Dissertation (MSc)--University of Pretoria, 2011. Numerous nonparametric or distribution-free control charts have been proposed and studied in recent years; see, for example, the overview articles by Chakraborti et al. (2001), Chakraborti and Graham (2007) and Chakraborti et al. (2010). Among the various nonparametric charts, the basic Shewhart-type sign chart for case K (i.e. when the process parameters are known) proposed by Amin et al. (1995) and the basic Shewhart-type precedence chart for case U (i.e. when the process parameters are unknown) proposed by Chakraborti et. al. (2004) have received a lot of attention. For example, Human et al. (2010) and Chakraborti et al. (2009a) extended the basic Shewhart-type sign and precedence charts (which signals when the first plotting statistic plots on or outside the control limits), respectively by incorporating runs-rules. In this dissertation the focus is specifically on the nonparametric Shewhart-type sign and precedence control charts. The goal is to further generalize these two charts by introducing improved runs-rules in an attempt to enhance the out-of-control performance of these charts; specifically for large (or larger) shifts. To evaluate the benefits of these new improved runs-rules sign and precedence charts, their in-control and out-of-control run-length distributions are evaluated and studied; this is done predominantly by using a Markov chain approach (for both case K and case U) coupled with the idea of conditioning by expectation and the unconditioning (for case U, see, for example the work of Chakraborti et al. (2009a), Chakraborti et al. (2004) and Chakraborti (2000)). The dissertation consists of five chapters, a brief description of the contents is provided below: Chapter 1 provides a brief introduction to Statistical Process Control. This will aid in familiarizing the reader with concepts and terminology that are helpful to the following chapters. Chapter 2 is dedicated to a discussion on the different methods to calculate the run-length distribution of a control chart. The focus is on the Markov chain approach, since the Markov chain approach is used in this dissertation to calculate the run-length distribution of the sign and precedence charts with improved runs-rules incorporated. Statistics MSc Unrestricted 2013-09-09T12:06:41Z 2012-08-14 2013-09-09T12:06:41Z 2012-04-13 2011 2012-08-08 Dissertation Kritzinger, P 2011, Improved nonparametric control charts for location based on runs-rules, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/31132> E12/4/90/gm http://hdl.handle.net/2263/31132 http://upetd.up.ac.za/thesis/available/etd-08082012-133149/ © 2011, 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. E12/4/90/ application/pdf University of Pretoria
spellingShingle UCTD
Improved nonparametric control charts for location based on runs-rules
title Improved nonparametric control charts for location based on runs-rules
title_full Improved nonparametric control charts for location based on runs-rules
title_fullStr Improved nonparametric control charts for location based on runs-rules
title_full_unstemmed Improved nonparametric control charts for location based on runs-rules
title_short Improved nonparametric control charts for location based on runs-rules
title_sort improved nonparametric control charts for location based on runs rules
topic UCTD
url http://hdl.handle.net/2263/31132
http://upetd.up.ac.za/thesis/available/etd-08082012-133149/