Nonparametric EWMA sign chart for location based on individual measurements

Show simple item record Graham, Marien Alet Chakraborti, Subhabrata Human, Schalk William 2012-05-29T08:37:02Z 2012-05-29T08:37:02Z 2011-06
dc.description.abstract Nonparametric control charts are useful when there is limited or complete lack of knowledge about the form of the underlying distribution. Though traditional statistical process control (SPC) applications of control charts involve subgrouped data, recent advances have led to more and more instances where individual measurements (data) are collected over time. A two-sided nonparametric exponentially weighted moving average (EWMA) control chart for i.i.d. individual data is proposed based on the sign (SN) statistic. A Markov chain approach is used to determine the run-length distribution of the chart and some associated performance characteristics. An important advantage of the nonparametric EWMA-SN chart is its inherent in-control robustness. In fact, the in-control run-length distribution and hence all of its associated characteristics (e.g., false alarm rate, average, standard deviation, median, etc.) of the chart remain the same for all unknown continuous distributions. In order to aid practical implementation, tables are provided for the chart’s design parameters. An extensive simulation study shows that on the basis of minimal required assumptions, robustness of the in-control run-length distribution and out-ofcontrol performance, the proposed nonparametric EWMA-SN chart can be a strong contender in many applications where traditional parametric charts are currently used. en
dc.description.librarian nf2012 en
dc.description.uri en_US
dc.identifier.citation Graham, MA, Chakraborti, S & Human, SW 2011, 'A nonparametric EWMA sign chart for location based on individual measurements', Quality Engineering, vol. 23, no. 3, pp. 227-241. en
dc.identifier.issn 0898-2112 (print)
dc.identifier.issn 1532-4222 (online)
dc.identifier.other 10.1080/08982112.2011.575745
dc.language.iso en en_US
dc.publisher Routledge en_US
dc.rights © Taylor & Francis Group, LLC. This is an electronic version of an article published in Quality Engineering, vol. 23, no. 3, pp. 227-241, 2011. Quality Engineering is available online at: en_US
dc.subject Contaminated normal en
dc.subject Distribution-free statistics en
dc.subject Median en
dc.subject Nonparametric control en
dc.subject EWMA control chart en
dc.subject.lcsh Process control -- Statistical methods en
dc.subject.lcsh Nonparametric statistics en
dc.subject.lcsh Markov processes en
dc.subject.lcsh Outliers (Statistics) en
dc.subject.lcsh Statistics -- Quality control en
dc.subject.lcsh Statistics -- Simulation methods en
dc.subject.lcsh Robust control en
dc.title Nonparametric EWMA sign chart for location based on individual measurements en
dc.type Postprint Article en

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