Robust control charts

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2006

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Çetinyürek, Aysun

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Control charts are one of the most commonly used tools in statistical process control. A prominent feature of the statistical process control is the Shewhart control chart that depends on the assumption of normality. However, violations of underlying normality assumption are common in practice. For this reason, control charts for symmetric distributions for both long- and short-tailed distributions are constructed by using least squares estimators and the robust estimators -modified maximum likelihood, trim, MAD and wave. In order to evaluate the performance of the charts under the assumed distribution and investigate robustness properties, the probability of plotting outside the control limits is calculated via Monte Carlo simulation technique.

Subject Keywords

Statistics.

URI

http://etd.lib.metu.edu.tr/upload/3/12607987/index.pdf
https://hdl.handle.net/11511/16473

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

A. Çetinyürek, “Robust control charts,” M.S. - Master of Science, Middle East Technical University, 2006.