EWMA control charts for monitoring high-yield processes based on non-transformed observations

DOI10.1080/00207540601182252zbMath1148.62094OpenAlexW2025302005MaRDI QIDQ3541173

Qi Shen, Arthur B. Yeh, Mark A. Sembower, Richard N. McGrath

Publication date: 25 November 2008

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540601182252

zbMATH Keywords

binomial countsBernoulli countsgeometric countsaverage number of items sampled

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30)

Related Items (12)

A compound control chart for monitoring and controlling high quality processes ⋮ A progressive mean control chart for COM-Poisson distribution ⋮ EWMA control charts for monitoring correlated counts with finite range ⋮ Design of attribute EWMA type control charts with reliable run length performance ⋮ ARL-unbiased geometric andCCC_Gcontrol charts ⋮ On Statistical Design of the Cumulative Quantity Control Chart for Monitoring High Yield Processes ⋮ Sequential monitoring of a Bernoulli sequence when the pre-change parameter is unknown ⋮ A comparative study of ANI- and ARL-unbiased geometric and CCC_Gcontrol charts ⋮ The optimal choice of negative binomial charts for monitoring high-quality processes ⋮ Monitoring of zero-inflated binomial processes with a DEWMA control chart ⋮ EWMA Control Charts for Monitoring High Yield Processes ⋮ A Combination of CUSUM Charts for Monitoring a Zero-Inflated Poisson Process

Cites Work

• An approach to the probability distribution of cusum run length

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