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Part of book or chapter of book . 2001 . Peer-reviewed
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Frequency Distribution Supporting Recognition of Unnatural Patterns on Shewhart X-bar Chart

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 2001 English Publisher:Physica-Verlag HD
Authors: Jacek Nieckula;

doi: 10.1007/978-3-642-57590-7_8

Frequency Distribution Supporting Recognition of Unnatural Patterns on Shewhart X-bar Chart

Abstract

This paper describes a method supporting recognition of unnatural patterns on a Shewhart X chart by analysis of its frequency distribution. It has been implemented as a program that simulates data from a statistically controlled process as well as from a process affected by patterns. The following patterns are simulated: sudden shift, trend, stratification, systematic variable, cycle and mixture

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
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