Poisson EWMA control charts

Connie M. Borror; Charles W. Champ; Steven E. Rigdon

doi:10.1080/00224065.1998.11979871

Poisson EWMA control charts

Connie M. Borror, Charles W. Champ, Steven E. Rigdon

Mathematical and Natural Sciences, School of (SMNS)

Research output: Contribution to journal › Article › peer-review

153 Scopus citations

Abstract

An exponentially weighted moving average control chart for monitoring Poisson data is introduced. The charting procedure is evaluated using a Markov chain approximation, and its average run length is compared to other procedures for Poisson data. Figures are given for the user to select the value of the upper control limit that gives the desired in-control average run length.

Original language	English (US)
Pages (from-to)	352-361
Number of pages	10
Journal	Journal of Quality Technology
Volume	30
Issue number	4
DOIs	https://doi.org/10.1080/00224065.1998.11979871
State	Published - Oct 1998

Keywords

Average Run Length
Exponentially Weighted Moving Average Control Charts
Poisson Distribution

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality
Strategy and Management
Management Science and Operations Research
Industrial and Manufacturing Engineering

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10.1080/00224065.1998.11979871

Cite this

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title = "Poisson EWMA control charts",

abstract = "An exponentially weighted moving average control chart for monitoring Poisson data is introduced. The charting procedure is evaluated using a Markov chain approximation, and its average run length is compared to other procedures for Poisson data. Figures are given for the user to select the value of the upper control limit that gives the desired in-control average run length.",

keywords = "Average Run Length, Exponentially Weighted Moving Average Control Charts, Poisson Distribution",

author = "Borror, {Connie M.} and Champ, {Charles W.} and Rigdon, {Steven E.}",

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AU - Rigdon, Steven E.

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AB - An exponentially weighted moving average control chart for monitoring Poisson data is introduced. The charting procedure is evaluated using a Markov chain approximation, and its average run length is compared to other procedures for Poisson data. Figures are given for the user to select the value of the upper control limit that gives the desired in-control average run length.

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KW - Poisson Distribution

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Poisson EWMA control charts

Abstract

Keywords

ASJC Scopus subject areas

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