CUSUM procedures based on sequential ranks / Corli van Zyl

The main objective of this dissertation is the development of CUSUM procedures based on signed and unsigned sequential ranks. These CUSUMs can be applied to detect changes in the location or dispersion of a process. The signed and unsigned sequential rank CUSUMs are distribution-free and robust agai...

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Main Author: Van Zyl, Corli
Language:en
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10394/15733
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-nwu-oai-dspace.nwu.ac.za-10394-157332016-03-16T03:59:33ZCUSUM procedures based on sequential ranks / Corli van ZylVan Zyl, CorliCUSUMDistribution-freeSequential rankSymmetric distributionLocation changeDispersion changeThe main objective of this dissertation is the development of CUSUM procedures based on signed and unsigned sequential ranks. These CUSUMs can be applied to detect changes in the location or dispersion of a process. The signed and unsigned sequential rank CUSUMs are distribution-free and robust against the effect of outliers in the data. The only assumption that these CUSUMs require is that the in-control distribution is symmetric around a known location parameter. These procedures specifically do not require the existence of any higher order moments. Another advantage of these CUSUMs is that Monte Carlo simulation can readily be applied to deliver valid estimates of control limits, irrespective of what the underlying distribution may be. Other objectives of this dissertation include a brief discussion of the results and refinements of the CUSUM in the literature. We justify the use of a signed sequential rank statistic. Also, we evaluate the relative efficiency of the suggested procedure numerically and provide three real-world applications from the engineering and financial industries.MSc (Risk Analysis), North-West University, Potchefstroom Campus, 20152016-01-06T12:08:14Z2016-01-06T12:08:14Z2015Thesishttp://hdl.handle.net/10394/15733en
collection NDLTD
language en
sources NDLTD
topic CUSUM
Distribution-free
Sequential rank
Symmetric distribution
Location change
Dispersion change
spellingShingle CUSUM
Distribution-free
Sequential rank
Symmetric distribution
Location change
Dispersion change
Van Zyl, Corli
CUSUM procedures based on sequential ranks / Corli van Zyl
description The main objective of this dissertation is the development of CUSUM procedures based on signed and unsigned sequential ranks. These CUSUMs can be applied to detect changes in the location or dispersion of a process. The signed and unsigned sequential rank CUSUMs are distribution-free and robust against the effect of outliers in the data. The only assumption that these CUSUMs require is that the in-control distribution is symmetric around a known location parameter. These procedures specifically do not require the existence of any higher order moments. Another advantage of these CUSUMs is that Monte Carlo simulation can readily be applied to deliver valid estimates of control limits, irrespective of what the underlying distribution may be. Other objectives of this dissertation include a brief discussion of the results and refinements of the CUSUM in the literature. We justify the use of a signed sequential rank statistic. Also, we evaluate the relative efficiency of the suggested procedure numerically and provide three real-world applications from the engineering and financial industries. === MSc (Risk Analysis), North-West University, Potchefstroom Campus, 2015
author Van Zyl, Corli
author_facet Van Zyl, Corli
author_sort Van Zyl, Corli
title CUSUM procedures based on sequential ranks / Corli van Zyl
title_short CUSUM procedures based on sequential ranks / Corli van Zyl
title_full CUSUM procedures based on sequential ranks / Corli van Zyl
title_fullStr CUSUM procedures based on sequential ranks / Corli van Zyl
title_full_unstemmed CUSUM procedures based on sequential ranks / Corli van Zyl
title_sort cusum procedures based on sequential ranks / corli van zyl
publishDate 2016
url http://hdl.handle.net/10394/15733
work_keys_str_mv AT vanzylcorli cusumproceduresbasedonsequentialrankscorlivanzyl
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