ABSTRACT
ROBUST CONTROL CHARTS
Ç / etinyü / rek, Aysun
M. Sc., Department of Statistics
Supervisor: Dr. BariS Sü / rü / cü / Co-Supervisor: Assoc. Prof. Dr. Birdal Senoglu
December 2006, 82 pages
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.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/3/12607987/index.pdf |
| Date | 01 January 2007 |
| Creators | Cetinyurek, Aysun |
| Contributors | Surucu, Baris |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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